Jobs — Computer Occupations, All Other

Research Scientist/Engineer 3 (Temporary)

University of Washington · Seattle, WA

Mid-level

2026-06-05

WA 2026-06-05

View full posting on CareerOneStop → ID: 0e204109cdfb

AI Research Scientist, VLM (vision language models)

Meta · Bellevue, WA

Mid-level

2026-06-04

WA 2026-06-04

Requirements

AI Research Scientist, VLM (vision language models) Responsibilities:
Push state of the art in multimodal generative AI
Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
Mentor and work with AI/ML engineers to find a path from research to production
Publications in machine learning, computer vision, NLP, speech
Experience writing software and executing complex experiments involving large AI models and datasets
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Direct experience in generative AI and LLM research
Fluent in Python and PyTorch (or equivalent)

Responsibilities

Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.- Work towards long-term ambitious research goals, while identifying intermediate milestones.- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.- Work with a large team.- Contribute to publications and open-sourcing efforts.- Mentor other team members. Play a significant role in healthy cross-functional collaboration.- Prioritize research that can be applied to Meta's product development.

View full posting on CareerOneStop → ID: 4322099821b1

Research Engineer 2 - Hardware and Software Design (Temporary)

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-06-04

WA 2026-06-04

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.
Bachelor's degree in computer science or related engineering field and two years of designing hardware and software.

Preferred

Experience in instrumentation, electronics, engineering principals and software development.
CAD drawing, 3D printing, numerical solutions and data processing.
Experience working in a research setting.

Responsibilities

*The Division of Metabolism, Endocrinology and Nutrition, has an outstanding opportunity for a temporary Research Engineer 2 to join their team.
Design fluidics hardware and analytical instrumentation (25%):
Using CAD software, instrumentation will be designed and fabricated with either 3D printing or other forms of fabrication. Design projects would include incorporating a gas mixing system that would flow into various measurement modalities including spectrophotometric cuvettes, fluorescent imaging systems, perifusion systems and a well-stirred tissue chamber. Each system assesses various metabolic, signaling or hormonal responses while maintaining viabilty and function of the tissue.
Build/test gas control systems, autoinjectors and gas/liquid equilibration system with existing flow and static culture systems and other analytical modalities (25%):
Materials and components will be purchased, fabricated and/or assembled according to optimized designs and drawings. Operation of the instruments will be tested and optimized according to criteria that include stability of flow rate, response times of injected test compounds and measurement of O2 concentration.
Develop software for computer-control and automation of fluidics systems (25%):
Instrumentation will be controlled by User Interface which will port data to Data Processing software. Devices to be automated will include controlling time dependent autoinjectors, composition of gas from multiple mass flow controllers, and liquid flow control by variable resistance valve.
Testing and optimization of devices to precisely control dissolved gas composition based on software-driven mass flow controllers with tissue samples (15%):
Data will be generated to demonstrate maintenance of tissue viability and accurate assessment of tissue function.
Process, graph and report data and document methodologies for papers and grants (10%):
Data will be generated confirming the accuracy and reliability of the instrumentation. Methodologies need to be clearly and concisely described.

View full posting on CareerOneStop → ID: 90cff76f0b19

Research Scientist, Google Research, GenAI, Experiences

Google · Kirkland, WA

Mid-level Doctorate

2026-06-04

WA 2026-06-04

Requirements

PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience with one or more of the following (e.g., computer vision, machine learning, natural language processing.
Experience with software development in Python.
One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred

2 years of experience in coding.
1 year of experience owning and initiating research agendas.
Experience with jax/pytorch, Python, and building/launching ML models and applied ML skills (e.g., Large Language Models (LLMs), Natural Language Processing (NLP)).
Experience with quantitative research or investigative abilities for data analysis.
Experience with Google infrastructure such as flume.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Design, implement, and evaluate advanced ML models utilizing large-scale datasets to analyze and predict human preferences and behavior.
Architect and maintain systems for model training and high-performance serving.
Perform statistical analyses on large-scale data to uncover patterns and derive actionable insights for product development.
Publish original research in venues, contributing novel methodologies to the fields of machine learning, and natural language processing.
Collaborate effectively with partners to integrate ML models driving measurable improvements in quality and user experience.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 404e04c498ec

Research Scientist, Google Research, GenAI, Experiences

Google · Seattle, WA

Mid-level Doctorate

2026-06-04

WA 2026-06-04

Requirements

PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience with one or more of the following (e.g., computer vision, machine learning, natural language processing.
Experience with software development in Python.
One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred

2 years of experience in coding.
1 year of experience owning and initiating research agendas.
Experience with jax/pytorch, Python, and building/launching ML models and applied ML skills (e.g., Large Language Models (LLMs), Natural Language Processing (NLP)).
Experience with quantitative research or investigative abilities for data analysis.
Experience with Google infrastructure such as flume.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Design, implement, and evaluate advanced ML models utilizing large-scale datasets to analyze and predict human preferences and behavior.
Architect and maintain systems for model training and high-performance serving.
Perform statistical analyses on large-scale data to uncover patterns and derive actionable insights for product development.
Publish original research in venues, contributing novel methodologies to the fields of machine learning, and natural language processing.
Collaborate effectively with partners to integrate ML models driving measurable improvements in quality and user experience.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 409454ba0c2c

Research Scientist, Special Projects

Amazon · Seattle, WA

Mid-level Doctorate

2026-06-04

WA 2026-06-04

Requirements

PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience with data analysis package (R, SAS, Matlab, etc.)
Experience using SQL databases to manage and analyze large data sets

Preferred

Experience applying forecasting and data mining techniques
Associate's degree or above

View full posting on CareerOneStop → ID: 923d6d02ab24

Temporary Research Scientist Engineer 1

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-06-04

WA 2026-06-04

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Applicants who do not meet these qualifications will not be forwarded to the Hiring Department.
Bachelor's degree in Biochemistry, Molecular Biology, Genetics, Cell Biology, Neuroscience or related field.
1 year of experience working with genomic sequencing, high-molecular weight DNA isolation and long read sequencing platforms and techniques.

Preferred

Experience with genomic sequencing, high-molecular weight DNA isolation
PCR & qPCR proficiency
Interest in genomics, novel sequencing technology, and human genetics
Able to work independently and as part of a multidisciplinary team
Demonstrated practical experience and proficiency in basic molecular biology procedures including DNA isolation, spectrophotometry for measuring nucleic acid concentration, PCR primer design, PCR amplification, gel electrophoresis, restriction enzyme digest, bacterial transformation.
Ability to communicate experimental results clearly using strong computer skills in Word, Excel and PowerPoint.
Attention to detail and strong organizational abilities
Proficiency in UNIX and with programming languages such as Python, R, Rust, and/or Perl.

Responsibilities

*The Pediatrics Department has an outstanding opportunity for a Temporary Research Scientist/Engineer to join their team.
*Bench Research (75%) Engage in laboratory work in support of multiple grants and funded research projects
Nucleic acid isolation, quantification, and purification from multiple sources.
PCR and Sanger sequencing.
DNA and RNA library preparation for long-read sequencing.
Running long-read sequencing equipment.
Other established molecular biology techniques.
Identify challenges with existing laboratory protocols and areas that could be improved.
*General research support (20%) - Researcher will help with overall operations of the laboratory as assigned by the lab manager or PI
Work with lab members to design long-read sequencing projects and properly plan for future projects.
Present research at local or national meetings either in-person or online.
Help with generation of data for research grants and other funding sources.
*Sample handling and management (5%) - Researcher will ensure that samples are inventoried and stored properly
Periodic inventory of existing and past samples.
Ensure laboratory documentation is up-to date for stored samples.

View full posting on CareerOneStop → ID: 9e357370115f

Research - Research Scientist III - 3036678

Apex Systems, Inc. · Redmond, WA

Mid-level

2026-06-04

WA 2026-06-04

View full posting on CareerOneStop → ID: fd9792cd4514

Research Scientist III- #26-12768

US Tech Solutions · Redmond, WA

Mid-level Doctorate

2026-06-03

WA 2026-06-03

Requirements

*Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR devices that are so compelling they become an integral part of our lives. Beyond working within current paradigms to realize our vision, Reality Labs is heavily invested in materials research and development at the fundamental level. This involves, but is not limited to, designing and characterizing materials yet to be discovered, for highly specific applications.
PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2 years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2 years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top).

Preferred

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at relevant high-impact journals.
Experience with solid-state analysis: e.g. diffuse reflectance, XRD, spectroscopy, DSC, optical microscopy.
Experience with crystallographic software (e.g. CCDC suite, BGMN, Profex, Olex2).
Experience with HPLC, LC-MS, UV/Vis and/or GC.
Experience working and communicating cross functionally in a team environment.
Experience with crystal growth and related concepts (e.g. supersaturation, nucleation, etc.).
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

Responsibilities

The position involves designing, building and automating an established workflow for the experimental screening of organic materials. Built on current in-house processes, this will streamline data acquisition required for the development of optoelectronic materials.
Develop next-generation optoelectronic materials with an emphasis on advanced design, fabrication, and analysis, to prove new concepts and understand the potential impact of those concepts.
Collaborate with the larger Reality Labs Research team to holistically understand current goals, limitations, and bottlenecks in the wider AR/VR space.
Build with and develop an intimate understanding of equipment designed for high-throughput experiments.
Design and automate crystal growth, processing, and analysis techniques, with a focus on highly specific components and devices.
Communicate results internally and with external partners.
Assist in the translation of research results to practical application in product development.

View full posting on CareerOneStop → ID: f6469c55c365

Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs

Meta · Seattle, WA

Senior

2026-06-03

WA 2026-06-03

Requirements

Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Responsibilities:
Provide scientific leadership in designing novel methodologies for post-training data collection, curation, and synthetic data generation
Define data quality frameworks and alignment strategies that guide capability development across MSL, particularly for complex reasoning and agentic behaviors
Drive the scientific vision for eliciting high-quality data in expert domains (finance, legal, health, STEM) and complex agentic trajectories (Deep Research, Computer Use, UI generation)
Conduct research to develop and optimize post-training recipes that directly improve model quality
Partner with cross-functional research teams across product and model training to identify and prioritize gaps in model capabilities
Lead research workstreams that shape the long-term direction of data-centric AI at MSL, working independently while also contributing to team goals and organizational priorities
5+ years of experience in machine learning research, with a focus on deep learning, data alignment, NLP, or related areas
Demonstrated ability to lead technical research projects from conception to production
Collaborative communication skills and experience collaborating with technical leadership

Preferred

Multiple first-author publications at top-tier peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model alignment, synthetic data generation, RLHF, or deep learning
Recognized expertise in data-centric AI, post-training methodologies, or complex reasoning data
Track record of research that has substantially influenced the field of deep learning
Hands-on experience with language model post-training, RLHF, DPO, or related alignment techniques

Responsibilities

Meta is seeking Research Scientists to join the Post-Training team within Meta Superintelligence Labs (MSL). High-quality data is the core of AI progress at MSL, fueling the complex capabilities we build, how our models reason, and how they interact with the world. As a Research Scientist, you will provide the technical vision to design, generate, and curate the critical post-training data (SFT, RLHF) that aligns and enhances our frontier AI systems. You will conduct research to develop and optimize post-training recipes that directly improve model quality.This is a highly technical research role requiring sound scientific judgment, creativity, and the ability to drive ambitious research agendas with independence. The data strategies you develop will directly influence research direction and major model lines within MSL, making data quality, methodological rigor, and clear communication important. You will collaborate closely with technical leadership to ensure our data pipelines capture the most important capabilities-ranging from expert domains (STEM, GDP-valuable tasks, finance, legal, health) to advanced agentic tasks (search, Deep Research, computer use, coding, UI generation, and shopping agents).We are looking for exceptional research talent-researchers who have shaped the field of machine learning and are ready to do so again at the frontier of AI. If you are passionate about defining how we teach and align AI systems and want to shape the scientific foundations of frontier AI development, we encourage you to apply for this exciting opportunity at the core of MSL.

View full posting on CareerOneStop → ID: 51d3750a4eb3

Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs

Meta · Bellevue, WA

Senior Doctorate

2026-06-03

WA 2026-06-03

Requirements

Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Responsibilities:
Provide scientific leadership in designing novel methodologies for post-training data collection, curation, and synthetic data generation
Define data quality frameworks and alignment strategies that guide capability development across MSL, particularly for complex reasoning and agentic behaviors
Drive the scientific vision for eliciting high-quality data in expert domains (finance, legal, health, STEM) and complex agentic trajectories (Deep Research, Computer Use, UI generation)
Conduct research to develop and optimize post-training recipes that directly improve model quality
Partner with cross-functional research teams across product and model training to identify and prioritize gaps in model capabilities
Lead research workstreams that shape the long-term direction of data-centric AI at MSL, working independently while also contributing to team goals and organizational priorities
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Ph.D. in Computer Science, Machine Learning, or a related technical field
5+ years of experience in machine learning research, with a focus on deep learning, data alignment, NLP, or related areas
Demonstrated ability to lead technical research projects from conception to production
Collaborative communication skills and experience collaborating with technical leadership

Preferred

Multiple first-author publications at top-tier peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model alignment, synthetic data generation, RLHF, or deep learning
Recognized expertise in data-centric AI, post-training methodologies, or complex reasoning data
Track record of research that has substantially influenced the field of deep learning
Hands-on experience with language model post-training, RLHF, DPO, or related alignment techniques

Responsibilities

Meta is seeking Research Scientists to join the Post-Training team within Meta Superintelligence Labs (MSL). High-quality data is the core of AI progress at MSL, fueling the complex capabilities we build, how our models reason, and how they interact with the world. As a Research Scientist, you will provide the technical vision to design, generate, and curate the critical post-training data (SFT, RLHF) that aligns and enhances our frontier AI systems. You will conduct research to develop and optimize post-training recipes that directly improve model quality.This is a highly technical research role requiring sound scientific judgment, creativity, and the ability to drive ambitious research agendas with independence. The data strategies you develop will directly influence research direction and major model lines within MSL, making data quality, methodological rigor, and clear communication important. You will collaborate closely with technical leadership to ensure our data pipelines capture the most important capabilities-ranging from expert domains (STEM, GDP-valuable tasks, finance, legal, health) to advanced agentic tasks (search, Deep Research, computer use, coding, UI generation, and shopping agents).We are looking for exceptional research talent-researchers who have shaped the field of machine learning and are ready to do so again at the frontier of AI. If you are passionate about defining how we teach and align AI systems and want to shape the scientific foundations of frontier AI development, we encourage you to apply for this exciting opportunity at the core of MSL.

View full posting on CareerOneStop → ID: 6ecfadcfd7bf

Research Scientist, Private Brands Intelligence - SCIT Science

Amazon · Seattle, WA

Mid-level Doctorate

2026-06-03

WA 2026-06-03

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience with any programming language such as Python, Java, C+Preferred Qualifications
Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience in machine learning, statistics, and deep learning
Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

Responsibilities

You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models.
This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economists. As a Research Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
We are particularly interested in candidates with experience in Operations Research and predictive models and working with distributed systems. Academic and/or practical background in Operations Research, Machine Learning and Reinforcement Learning are particularly relevant for this position.
To know more about Amazon science, Please visit https://www.amazon.science

View full posting on CareerOneStop → ID: e073d709eddb

Research Scientist/Engineer 2

University of Washington · Seattle, WA

Mid-level Doctorate

2026-06-03

WA 2026-06-03

Requirements

To be considered for this opportunity, your application must demonstrate you met both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as license, certification, and/or registration.
Bachelor's degree in civil (geotechnical, structural,etc) engineering, geomatics or similar andtwoyears of experience working with a technical research laboratoryor field research environment.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.

Preferred

Significant knowledge,skillsand abilities arerequiredin at least one of the following: surveying/geomatics engineering,acquiringand processing lidar data, GPS\GNSS acquisition and processing,operatinguncrewed aerial vehicles and collecting geospatiallylocatedimage data for use in structure from motion photogrammetry.
Experience with field datacollection, andwill be willing and able to develop skills and abilities in the other areas. -Knowledge of basic programming\scripting skills.
Able todemonstratea history of collaborative research interaction and have strong interpersonal skills.
Willing to travel to natural hazard locations followingevent.
Experience in some of the following areas: geotechnical field investigation techniques (e.g., CPT, MASW, etc.), storm surge and coastal damage data collection (wave gauges and acoustic sensors), social science data collection, data visualization, coding and script writing to support data processing and instrument control, and project management.
Experience interactingwith:engineers and scientists, professors, equipment vendors, machine shop personnel to support fabrication, emergency management personnel, and with interdisciplinary teams is desired.

Education

Represent the RAPID Facility at international professional and academic conferences.
Develop user training workshop curriculum focused on geomatics and engineering data collection.
Collaborate with the leadership team on developing modules for all RAPID workshops focused on geomatics data collection and processing.
Develop user training media focused on geomatics data collection and processing.
Generate tutorials on RAPID equipment, software, and data analysis for facility users.

Responsibilities

*The Civil and Environmental Engineering Department has an outstanding opportunity for a Research Scientist/Engineer 2 to join their team.
Reporting to the Research Scientist/Engineer 3, The Research Scientist/Engineer 2 will hold the position of Site Operations Engineer within the NHERI Rapid Facility. The selected candidate will join the RAPID technical staff supporting researchers in deploying tools related to collecting perishable data to support natural hazards engineering research.
*Equipment Maintenance (25%)
Operate, maintain, and calibrate facility equipment.
Inspection and testing of equipment prior to and following deployments.
Track operational status of facility equipment (e.g., iPads, Laptops) and resources (e.g., on-site computing)
Share equipment, software, and computing maintenance and troubleshooting with other RAPID personnel.
Have an equal part (with other RAPID staff) in maintaining the effectiveness, organization, and professional appearance of the RAPID facilities laboratory spaces (More Hall 016, 016a, 020) and HQ (116).
*Project Management, Logistics and Deployment (30%)
Independently move assigned projects forward from scoping through implementation, and clearly communicate progress, blockers, and support needs.
In coordination with the Site Operations Manager and other Research Scientists, act as a point of contact for facility users to initiate projects, determine scope and resource needs, and carry projects to completion.
Assist other Facility staff with in communicating with external users interested in using Rapid Facility resources, focusing on users interested in collecting natural hazards engineering data.
Assist other Research Scientists coordinating external NSF and NIH-funded PI's projects; determine scope and resource needs, assist users in the development of proposals and research questions, refine field methods, scheduling, and logistics.
Establish logistical and field protocols to ensure safe and timely deployment of facility personnel and resources.
Arrange personnel travel logistics for RAPID deployments as needed.
Coordinate equipment shipping, asset tracking, and retrieval for RAPID deployments as needed.
Deploy with users during field data collection to provide assistance or take the lead as needed.
Lead perishable data collection efforts or assist with equipment use in collaboration with external research teams during field deployments after natural hazard events.
*Training on RAPID Equipment (15%)
Gain proficiency on RAPID equipment in collaboration with expert data collection practitioners and equipment manufacturers.
Assist with quality assurance measures for data collection processes to ensure accuracy and reliability.
Maintain appropriate qualifications and credentials (e.g., FAA Part-107 UAV Pilots license).
Remain knowledgeable of emerging technologies and methodologies in data collection and natural hazards engineering and integrate them into operations where appropriate.
Develop standard operating procedures for various RAPID equipment.
*Training of Other RAPID Staff (5%)
Instruct other RAPID personnel on natural hazards field reconnaissance, including field safety, logistics, and geospatial data collection.
*Facility Management (5%)
Contribute equally (with other RAPID staff) to the upkeep, organization, and professional presentation of RAPID facility laboratory spaces in More Hall (More Hall 016, 016a, 020, 319), HQ (116), and any newly acquired spaces.
Generate reports summarizing data collection activities, findings, and recommendations for internal and external stakeholders.
Maintain accurate and organized documentation of equipment inventory, maintenance logs, and other relevant records.
*Data Processing and Management (15%)
Assist facility staff with data management, focused on environmental and public health data, including archiving data to DesignSafe consistent with the RAPID Facility's Data Management Plan.
Maintain an operational knowledge of RAPID data and post-processing software.
Manage RAPID Facility data; including downloading from equipment, quality control, storage, archiving, curation, and publishing.
Develop data processing workflows.
Process and analyze data from RAPID deployments as needed, with a focus on lidar and structure from motion processing.
Provide user support for data processing and archival as needed.

View full posting on CareerOneStop → ID: 3d5a1859db2f

Research Scientist/Engineer 3

University of Washington · Seattle, WA

Mid-level Doctorate

2026-06-03

WA 2026-06-03

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Bachelor's Degree, Astronomy, Physics, Computer Science, or related field
Four years of experience developing Python and/or C++ algorithms and software in an astronomical context
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.

Preferred

Strong written and oral communication skills
PhD in astronomy, physics, computer science, or a related field.
Prior experience with large astronomical survey data and/or software.
Experience with collaborative software development using Git and GitHub.
Commitment to writing clear documentation and software tests; familiarity with continuous integration.
Enthusiasm for contributing to science projects enabled by early LSST data in DiRAC research areas ( https://dirac.astro.washington.edu/research/ ).

Responsibilities

*The Department of Astronomy has an outstanding opportunity for a Research Scientist/Engineer 3 position to join their team. Two positions available.
The Vera C. Rubin Observatory Alert Production group within the Data Intensive Research in Astrophysics and Cosmology (DIRAC) Institute at the University of Washington invites applications for a research scientist to join us in Seattle to develop and operate its real-time astronomical data-processing pipelines. This position is based in Seattle, WA.
*Algorithm and Software Development (40%) :
Develop, implement, and test elements of the LSST data processing algorithms and software pipelines, with an emphasis on scientific rigor and computational performance.
Work may include image differencing, coadded image template generation, object association and classification, and alert streaming infrastructure.
Contribute to the full development lifecycle, including algorithm and software design, code review, testing, and maintenance, following modern software engineering best practices such as version control, continuous integration, and peer review.
Primary development will be in Python, with performance-critical components implemented in C++ or Rust.
*Data Analysis in Support of LSST Operations (25%) :
Evaluate the scientific data quality of LSST data products as processed by the developed pipelines, ensuring that outputs meet observatory requirements.
Explore large-scale datasets to identify systematic issues, develop quantitative metrics to characterize pipeline performance, and diagnose the root causes of data quality problems.
Propose and implement mitigations in collaboration with pipeline developers and members of the science community.
*Documentation and Reporting (15%) :
Communicate the results of algorithm development and data analysis activities through technical notes, peer-reviewed journal papers, and presentations.
Report results to both internal project stakeholders and the broader astronomical community.
Maintain clear and thorough documentation of software, methods, and findings.
Participate in planning meetings to coordinate work activities and track progress.
*Personally-directed research (20%) :
Lead or collaborate on independent scientific research topics making use of Rubin Observatory data.
Disseminate results through peer-reviewed publications and presentations at scientific conferences.

View full posting on CareerOneStop → ID: 541122590973

Research Scientist Manager 2

Northrop Grumman · Corinne, UT

Manager Doctorate

2026-06-03

ID 2026-06-03

Requirements

Bachelor's degree in engineering or science discipline with 8 years of professional experience - OR - Master's degree with 6 years of professional experience - OR - PhD with 4 years of professional experience.
Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance
Strong understanding of nozzle design, manufacture, and testing
Strong knowledge of and experience with production program requirements
Experience in conducting/supporting technical reviews
Working knowledge and/or experience across multiple engineering disciplines and their interactions
Excellent communication, interpersonal skills, and the ability to interface with all levels of employees, management, and customers
Prior experience guiding and mentoring lower-level engineers and scientists

Preferred

Strong understanding of C-C designs and products (both 2D and 3D)
Must possess at least 3 years of nozzle experience
Previous lab and/or production experience with C-C
Previous experience with IRAD compliance requirements
Previous experience of achieving work through others
Previous experience working through interpersonal conflict
Experience generating Basis of Estimates (BOEs) for new work scope, and managing costs to an established budget
Experience presenting to senior leadership
Proven leadership qualities and strong interpersonal skills
Experience with anomaly investigations identifying cause and corrective actions
As a leader with integrity, you ensure ethical conduct, balanced results, and partner satisfaction. You respect and nurture growth, fostering a culture of excellence. Skilled in building collaborative teams and customer trust, you communicate well, foster strong teams, and embrace change.
Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below:
https://www.northropgrumman.com/space
Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site.
Northrop Grumman Total Rewards (https://totalrewards.northropgrumman.com/?\_gl=1*1y2u5rc*\_gcl\_au*MTkyMjcyNDUxNS4xNzUyNTg4MDg3*\_ga*MzA4NDM5NjgzLjE2NzM5ODM3ODg.*\_ga\_7YV3CDX0R2*czE3NTMyNzU3NDgkbzEyMzckZzEkdDE3NTMyNzY2ODQkajU5JGwwJGgw)

View full posting on CareerOneStop → ID: edeadc9f9b41

Data Research Engineer

Microsoft Corporation · Redmond, WA

Mid-level Master's

2026-06-03

WA 2026-06-03

Requirements

Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
OR equivalent experience.

Preferred

Master's Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
Proficiency in statistics and exploratory data analysis methods.
Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
Ability to communicate technical findings clearly to research and product teams.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 - $261,000.00 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Responsibilities

Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values. (https://www.microsoft.com/en-us/about/corporate-values)

View full posting on CareerOneStop → ID: 6149d48f302c

Research Scientist/Engineer 4

University of Washington · Seattle, WA

Mid-level Doctorate

2026-06-02

WA 2026-06-02

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Applicants who do not meet these qualifications will not be forwarded to the Hiring Manager.
Master's Degree in Atmospheric Sciences or equivalent field and four years of experience in:
the development and application of time of flight mass spectrometry with select chemical ionization,
fast chromatography,
aerosol instrumentation,
vacuum hardware and instrumentation,
chemistry of atmospheric reactive nitrogen and organic aerosol particles,
fully proficient in generating and interpreting custom data analysis software.

Preferred

Design and testing of chemical ionization schemes and apparatus.
Able to mentor students and postdocs, design and construct laboratory apparatuses fo
atmospheric aerosol formation and chemistry experiments, and know biospheric hydrocarbon
emissions and biogenic hydrocarbon chemistry. Knowledge of multiplexing for chromatography and ion mobility.
PhD in Atmospheric Sciences or equivalent field; at least 4 years of experience in the field of atmospheric chemistry instrumentation after PhD; strong working knowledge of high-resolution time-of-flight chemical ionization mass spectrometry applied to reactive halogens, reactive nitrogen, and reactive organic compounds.

Responsibilities

*The Department of Atmospheric Sciences has an outstanding opportunity for a Research Scientist/Engineer 4 to join their team.
*Project Contribution (70%)
Develop, operate, and maintain state-of-the-art instrumentation such as high-resolution time-of-flight chemical ionization mass spectrometers and nanoparticle sizers and counters
Oversee day-to-day laboratory operations, such as purchasing consumables, space and power use organization, safety practices, grant proposal writing, etc.
Design and carry out field and laboratory experiments using the instruments
Process and analyze data collected from laboratory and field studies using custom computer code in a range of coding languages and platforms.
*Publication & Networking(20%)
Write and submit grant and research contract proposals to government, corporate, and foundation opportunities
Initiate and help manage collaborations on field and laboratory projects with external partners
Author and co-author manuscripts for peer-reviewed publication in atmospheric chemistry journals
*Research Mentoring (10%)
Train students and postdocs on the use of the instrumentation for atmospheric chemistry research
Co-manage graduate student and postdoc research projects by providing expert advice, computer code, editing manuscripts, and proposals

View full posting on CareerOneStop → ID: ece3db25a149

Research Scientist/Engineer - Photoshop

Adobe Inc. · Seattle, WA

Mid-level Doctorate

2026-06-01

WA 2026-06-01

Responsibilities

Work towards long-term results-oriented research goals, while identifying intermediate achievements.
Contribute to research that can be applied to Adobe product development.
Help integrating novel research work into Adobe's product.
Lead and collaborate on research projects across different Adobe divisions.
*What you need to succeed
Ph.D. and solid publications in machine learning, AI, computer science, statistics, or scene semantic understanding.
Experience communicating research for public audiences of peers.
Experience working in teams.
Knowledge in a programming language.
1+ years of professional full-time experience preferred, but not required
2+ year(s) of internship with primary emphasis on AI research in image generation, low level vision, image restoration, and segmentation
Experience in collaboration with a team with varied strengths.
4+ First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ECCV, ICML, ICLR, ICCV, and ACL).
Experience in developing and debugging in Python.

View full posting on CareerOneStop → ID: 9df9225521b0

Computer Engineer, CE

Micron Technology, Inc. · Boise, ID

Mid-level Bachelor's

2026-05-31

ID 2026-05-31

Requirements

Bachelor's degree or equivalent experience in Computer Engineering, Computer Science, or a related field
Strong programming fundamentals with demonstrated problem-solving ability
Effective communication skills in a collaborative engineering environment
Experience working in Linux/Unix environments and with shell scripting

Preferred

Experience programming in SKILL and Python
Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification
Experience with CMOS implementation tradeoffs including area, speed, and powe
Prior work supporting or developing EDA design flows
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .

Responsibilities

Develop and enhance EDA tools, flows, and methodologies for CMOS design and verification
Debug, evaluate, and support in-house and commercial EDA solutions in a production environment
Collaborate closely with design and process teams to solve workflow and tool challenges
Document processes and provide training and support for end users

View full posting on CareerOneStop → ID: f21930e70f4b

Research Scientist/Engineer 1

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-05-30

WA 2026-05-30

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
A Bachelor's degree in the basic biological sciences is required with an emphasis in one of the biology disciplines and One year of relevant experience working in a Genitourinary Laboratory.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
Experience in the handling and processing of human tissues.
Experience with research autopsy collections.
Experience working with immune comprised mice and tumor implantation.

Preferred

Experience with laboratory techniques such as tissue sectioning and staining.

Responsibilities

*The Department of Urology has an outstanding opportunity for a Research Scientist/Engineer 1 to join their team.
Molecular biology, cell culture (60%):
Cell culture experience.
Molecular biology experience in RNA and DNA isolation, knockdown and overexpression experiments, Realtime PCR, western analysis, and immunohistochemistry.
Familiarity with spreadsheets and databases.
Collection and Documentation of Data (15%):
Must be very attentive to detail and keep highly accurate records of specimens received and processed.
Demonstrate proficiency in data collection and input of data into databases.
Interact in a collaborative manner with other team members to accomplish organizational goals and provide ideas for improved efficiency. Define and improve practices from experiences on small projects.
Order lab supplies and monitor lab safety compliance including chemical hygiene.
Learn new techniques as required for optimal job performance.
Animal Studies (10%):
They will provide assistance to the animal facility team on an as needed basis.
*Join an on-call rapid Tissue Acquisition Necropsy (TAN) team (5%):
Rotate (every third week) as on a TAN team.
Assist with the processing of samples, ensure all documentation is complete and accurate.
The TAN program necessitates that the applicant be in the laboratory within two hours of being paged. Each laboratory member participates in approximately 4-5 rapid autopsies per year.
This position performs essential services and may be required to work during any period of declared suspended operation

View full posting on CareerOneStop → ID: 19992aa3da1d

Research Scientist/Engineer 2

University of Washington · Seattle, WA

Mid-level Doctorate

2026-05-30

WA 2026-05-30

Requirements

To be considered for this opportunity, your application must demonstrate you met both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as license, certification, and/or registration.
Bachelor's degree in environmental engineering, environmental science, environmental chemistry, environmental health, public health, industrial hygiene, chemistry, chemical engineering, earth science, biology, geography, GIS, natural resources, or a related field and two years of experience in a technical laboratory or field research environment.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.

Preferred

Willingness and ability to travelfrequently, including extended domestic and international field deployments, often on short notice.
Willingness to obtain andmaintainFAA Part 107 UAVpilot'slicense within six months of hire.
Strong aptitude for learning andoperatinganalytical instruments, especially spectrometry-based tools (GC/MS, XRF, hyperspectral imaging).
Demonstratedability to independently complete technical work and follow through on deliverables.
Experience developing workflows, SOPs, or other technical documentation.
Strong organizational skills and ability to manage multiple priorities.
Effective technical communication and training ability.
Ability to take partially defined problems and develop structured, actionable solutions.
Hands-on experience with spectrometry techniques (GC/MS, XRF, or optical spectroscopy).
Experience with public health sample collection and monitoring equipment.
Knowledge of biological and chemical hazards and handling safety.
Experience with GIS for environmental and public health data.
Prior experience in naturalhazardsreconnaissance and fieldwork safety protocols.

Education

Help coordinate RAPID Facility outreach efforts related to environmental and public health data with the Exposures and Health Team Lead.
Represent the RAPID Facility at international professional and academic conferences.
Develop user training workshop curriculum focused on environmental and public health data collection.
Collaborate with the leadership team on developing modules for all RAPID workshops focused on environmental and public health data.
Develop user training media focused on environmental and public health data collection and participate in other media development as needed.
Generate tutorials on RAPID equipment, software, and data analysis for facility users.
*Training of Other RAPID Staff (5%)
Instruct other RAPID personnel on the new environmental and public health equipment.
*Training on RAPID Field Operations and Geospatial Equipment (5%)
Receive training from other RAPID personnel on natural hazards field reconnaissance, including field safety, logistics, and geospatial data collection.

Responsibilities

*The Civil and Environmental Engineering department has an outstanding opportunity for a Research Scientist/Engineer 2 - Temp to join their team.
Reporting to the Research/Scientist Engineer 3, this position will hold the title of Research Scientist within the NHERI Rapid Facility. The selected candidate will join the RAPID technical staff supporting researchers in deploying tools related to collecting perishable data to support environmental and public health research.
*Project Management, Logistics and Deployment (30%)
Independently move assigned projects forward from scoping through implementation, and clearly communicate progress, blockers, and support needs.
In coordination with the Operations Manager and other Research Scientists, act as a point of contact for facility users to initiate projects, determine scope and resource needs, and carry to completion.
Assist other Research Scientists with communicating with external users interested in using Rapid Facility resources, focusing on users interested in collecting environmental and public health data.
Assist other Research Scientists coordinating external NSF and NIH-funded PI's projects; determine scope and resource needs, assist users in the development of proposals and research questions, refine field methods, scheduling, and logistics.
Establish logistical and field protocols to ensure safe and timely deployment of facility personnel and resources.
Arrange personnel travel logistics for RAPID deployments as needed.
Coordinate equipment shipping, asset tracking, and retrieval for RAPID deployments as needed.
Deploy with users during field data collection to provide assistance or take the lead as needed.
Lead perishable data collection efforts or assist with equipment use in collaboration with external research teams during field deployments after natural hazard events.
*Equipment Acquisition, Commissioning, and Maintenance (25%)
Assist with the acquisition, commissioning and maintenance of RAPID equipment to support environmental and public health data collection following natural hazards.
Develop clear, step-by-step operational workflows and documentation so RAPID staff and facility users can effectively operate the equipment.
Integrate new equipment seamlessly into the Facility's existing inventory.
Assist with the preparation of newly acquired facility spaces for the NIH expansion.
Ensure compliance with relevant industry standards, protocols, and regulatory requirements.
*Data Processing and Management (15%)
Assist facility staff with data management, focused on environmental and public health data, including archiving data to DesignSafe consistent with the RAPID Facility's Data Management Plan.
Process and analyze data from RAPID deployments as needed, with a focus on environmental and public health data.
Maintain an operational knowledge of RAPID data and post-processing software.
*Training on New Equipment (10%)
Gain proficiency on newly acquired RAPID equipment in collaboration with expert data collection practitioners and equipment manufacturers.
Assist with quality assurance measures for data collection processes to ensure accuracy and reliability.
Maintain appropriate qualifications and credentials (e.g., FAA Part-107 UAV Pilots license, HAZWOPER 40, Respirator training).
Remain knowledgeable of emerging technologies and methodologies in data collection and public health research, and integrate them into operations where appropriate.
*Facility Management (5%)
Share equipment, software, and computing maintenance and troubleshooting with other RAPID personnel.
Contribute equally (with other RAPID staff) to the upkeep, organization, and professional presentation of RAPID facility laboratory spaces in More Hall (More Hall 016, 016a, 020, 319), HQ (116), and any newly acquired spaces.
Generate reports summarizing data collection activities, findings, and recommendations for internal and external stakeholders.
Maintain accurate and organized documentation of equipment inventory, maintenance logs, and other relevant records.

View full posting on CareerOneStop → ID: 2aeb9825a7a9

Staff Research Scientist, AI2 Research

Google · Seattle, WA

Senior Doctorate

2026-05-30

WA 2026-05-30

Requirements

PhD in Computer Science, a related field, or equivalent practical experience.
4 years of experience with research agendas across multiple teams or projects.
Experience in one or more of the following programming languages: Java, C++ and Python.
One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred

2 years of experience in coding and leading multiple research efforts and influencing research direction.
Extensive programming experience in Python, and deep learning frameworks like TensorFlow/Jax/Pytorch.
Experience in one or more of the following areas: Natural Language Understanding, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Mining, or Artificial Intelligence.
Experience developing ML solutions for real world problems.
Experience in deep learning, distributed training.
Excellent communication skills.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Join a team of research scientists and engineers that are managing real world problems for Google to help AI transform the world!
The team addresses AI research challenges motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solve grand scientific and engineering challenges in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of high-impact problems with the goal of maximizing both scientific and real-world impact - both pushing the state-of-the-art in AI in top venues and collaborating across teams to bring innovations to production.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Author research papers to share and generate impact of research results across organization and in the research community.
Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: b0d209dc4a27

Clinical Research Scientist

Seattle Children's · Seattle, WA

Mid-level Doctorate

2026-05-29

WA 2026-05-29

Requirements

*Required Credentials

Preferred

PhD in implementation science, health services research, or equivalent.

Education

Advanced degree in scientific related field (Master's, PhD, MD).
Minimum of four (4) years of related research experience.

View full posting on CareerOneStop → ID: a1c84393ff32

Research Scientist II, Special Projects

Amazon · Seattle, WA

Mid-level Doctorate

2026-05-29

WA 2026-05-29

Requirements

PhD, or Master's degree and 5+ years of quantitative field research experience
Experience analyzing both experimental and observational data sets
Knowledge of R, MATLAB, Python or similar scripting language
Expertise in genomic sequence analysis, homology search, genome annotation, phylogenomics, and interpretation of those results

Preferred

Expertise with cutting edge life science-related tools and concepts
Demonstrated experience developing, optimizing, or scaling new methodologies
Excellent analytical and organizational skills, with great attention to detail and record keeping
Work hands-on within a team of researchers to extend and interpret advanced methodologies
Ability to work successfully within an entrepreneurial environment
Ability to work within multidisciplinary teams at the interface of life science and computer science
Facilitate interactions with collaborators, both internal and external

Responsibilities

Perform deep dive bioinformatic analysis of biological sequence datasets
Collaborate with research and development stakeholders on critical documentation
Generate and report on proof-of-concept novel bioinformatic work to inform new research directions
Evaluate and incorporate novel bioinformatic approaches to solve critical business problems

View full posting on CareerOneStop → ID: 67d27bfb40ba

Research Scientist/Engineer 1

University of Washington · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Bachelor's degree in Pharmacology and Toxicology or Bioengineering or related field and one year of experience in biolayer interferometry and immunoassay development, with hands-on expertise in vertebrate animal handling (including tissue harvest, perfusion, fixation, and IP/ID/IM injections).
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
*Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.

Preferred

Master's degree in Pharmacology and Toxicology or Bioengineering
Experience with cryosection, tissue expansion, and RNAscope.
Proficiency with confocal microscopy and quantifying blood vessels, gliosis, and TDP proteinopathy in the spinal cord.
Proficiency with Xenogen imaging, bioluminescence quantification, and analysis of immunoassays.
Experience with human neural stem cells and/or hiPSC organoid tissue culture, neural cell differentiation, and analysis.
Experience with Fiji and MetaXpress for image analysis.
Equivalent combination of education/experience.
Experienced with sympathetic ganglia and spinal cord dissection.
Experienced with Liberty Blue SPPS, general lab maintenance, and safety protocols.
Experience in training and working with undergraduate students.
Excellent written, verbal, and interpersonal communication skills.
Highly organized with a strong attention to detail.
Self-motivated with the ability to take initiative and work independently.
Strong working knowledge of vascular abnormalities and proteinopathy in ALS.
Strong analytical, written, and presentation skills.
Capable of multitasking and managing multiple priorities

Responsibilities

*Bioengineering has an outstanding opportunity for an RSE 1 to join their team.
Reporting to Dr. Drew Sellers, the Research Scientist Engineer 1 (RSE 1) will contribute to innovative research focused on the development of novel peptide technologies for targeted drug delivery into the central nervous system (CNS). This work aims to advance therapeutic approaches for treating neurodegenerative diseases and post-traumatic injuries affecting the CNS.
Research Activities (85%)
Conduct human iPSC culture, maintenance, and differentiation, including assays of vascular formation and neural lineage development.
Perform histological processing of spinal cord tissue, including cryosectioning and staining.
Investigate PDGF signaling through pathway analysis, activation studies, and target validation experiments.
Execute flow cytometry assays to evaluate peptide binding, stability, and target engagement.
Acquire and analyze confocal microscopy images, including quantitative digital image analysis of spinal cord samples.
Perform protein and gene expression analyses in both tissue samples and cultured cells.
Synthesize peptides and carry out HPLC purification and biolayer interferometry (BLI) to assess binding kinetics and specificity.
Research Communication & Reporting (10%)
Present research findings at lab meetings, journal clubs, and other internal forums.
Summarize experimental data in written and graphical formats for inclusion in grant proposals and progress reports.
Actively participate in lab meetings by sharing updates, insights, and experimental outcomes.
Prepare concise summaries of results and communicate findings to the Principal Investigator.
Laboratory Operations Support (5%)
Monitor inventory levels and communicate supply needs to the lab manager to ensure continuous workflow.
Adhere to established standard operating procedures (SOPs) and maintain a safe laboratory environment.

View full posting on CareerOneStop → ID: 1736f549efeb

Research Scientist/Engineer 4

University of Washington · Seattle, WA

Mid-level Doctorate

2026-05-29

WA 2026-05-29

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Master's degree in a Bioengineering, Engineering, or related field and four years of experience in muscle cell tissue and stem cell research, instrumentation & protocol development, and proteomics.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration

Preferred

PhD in Bioengineering
five years of work experience in muscle cell tissue
Experience conducting fieldwork in national/international settings
Experience in local and national collaborations
Experience working across multiple concurrent research projects
Demonstrated experience presenting at scientific conferences or invited talks and panels
Demonstrated successful in proposal writing and procuring independent and collaborative fundings.
Experience mentoring student and research teams from diverse backgrounds and disciplines
Experience leading and organizing research peer-reviewed publications

Responsibilities

*Bioengineering has an outstanding opportunity for a Research Scientist/Engineer 4 to join their team.
This position involves independently managing complex, multi-faceted research projects with a focus on muscle biology. The role requires advanced expertise to plan, coordinate, and supervise research activities, while developing and applying innovative methods to investigate the molecular mechanisms of muscle function. The individual will serve as a technical resource to the Regnier research group and collaborators, contributing to cutting-edge, multidisciplinary research efforts. Serve as a technical resource in muscle-focused research, including muscle mechanics and related disciplines.
Research Activities (50%)
Initiate new project concepts and seek funding, develop technical proposals and make presentations to potential customers/grant sponsors.
Identify funding opportunities and work with PI to organize proposals.
Take a lead role in preparing proposals for grants and contracts.
Develop collaborations with other research labs at UW, around the USA and internationally
Develop and utilize stem cell differentiation and long-term culture protocols for production of skeletal and cardiac muscle cells
Develop analytical tools for characterization of stem cell derived muscle cells.
Develop new instrumentation for mechanical and biochemical analysis of isolated contractile organelles from stem cell derived muscle
Summarize data/results in narrative or graphic form for inclusion in proposals and progress reports.
Present information to sponsors at site visits as requested by PI/supervisor.
Lab management (30%)
Manages multiple or significant projects which may require the use of sophisticated project planning techniques
Lead others on assigned work, provide major input to staffing of overall project teams, build teams and staff to optimize efficiency and cost effectiveness
Coach, support, and manage the work of senior fellows and graduate/undergraduate students.
Train lab members to perform specialized tasks and follow up to correct performance.
Maintain the inventory of lab supplies and materials.
Use department approved methods to purchase goods and materials.
Provide required documents to the department's fiscal office.
Attend lab meetings and share updates and information with the group.
Manage the work of undergraduate and/or graduate students in the lab.
Follow standard operating protocols and perform assigned tasks in a manner that is safe for self and others in the lab.
Establish standard operating protocols for lab procedures as requested by PI/superviso
Reporting and Presentations (20%)
Take a lead role in writing journal articles for publication in peer reviewed journals.
Contribute substantial ideas and research summaries/data for inclusion in journal articles written by others.
Present at UW events (journal clubs, lab meetings, etc.)
Present research results at lab meetings
Delivers invited presentations at national and international conferences and workshops
Engage with professional societies and committees.

View full posting on CareerOneStop → ID: 4432c64f6a3b

Neuromorphic/AI Research Scientist

Intel · Hillsboro, OR

Mid-level Doctorate

2026-05-29

WA 2026-05-29

Requirements

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field.
1+ projects demonstrating the skills to turn research ideas into working prototypes and to evaluate them rigorously (benchmarks, baselines, ablations, quantitative reporting).
3+ publications in leading journals or conferences on AI/ML, edge computing, robotics, and/or control.
2+ years of experience with:
State-of-the-art AI models, optimization, and at least one of: control/dynamical systems, signal processing, or probabilistic inference.
Scientific programming for research (e.g., Python or C/C++) including experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).

Preferred

Track record of open-source releases or widely used internal libraries; skills to write high-impact technical narratives (e.g., position papers).
1+ years of experience with:
Strong mathematical background.
Edge AI HW accelerators or event-based sensors.
Quantization and computations with low-precision arithmetic.
Developing software for robotics or other real-time control systems.
Building performant components in a systems language (e.g., C/C++/assembler) or equivalent performance-oriented environment.
Profiling and benchmarking algorithms and hardware architectures.
Hardware architecture and design experience.

Responsibilities

Intel's Neuromorphic Computing Lab has been at the forefront of brain-inspired computing for nearly a decade, working alongside a global ecosystem of 250+ research groups. Our groundbreaking Loihi series research chips have pioneered event-driven, sparse, and massively parallel neuro-inspired processing, resulting in over 100 peer-reviewed publications. As part of Intel's CTO Office, we're now transforming these research breakthroughs into real-world products that will power the next generation of physical AI systems.
We are seeking a Neuromorphic AI Research Scientist to advance state-of-the-art neuromorphic processor technology toward commercial adoption. This role focuses on modeling, prototyping, and defining architectures and algorithms that enable transformative gains for real-world customer applications in edge computing, signal processing, and autonomous systems.
Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms
Develop research-quality software artifacts including APIs, kernels, and benchmarking tools that enable collaborative innovation
Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization
Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications
Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies
Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals
Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders
*As a successful candidate, you must possess
Innovative Problem-Solving: Skills to approach complex challenges with creative, out-of-the-box thinking
Collaborative Leadership: Strong interpersonal skills to work effectively across diverse, multidisciplinary teams
Adaptability: Flexibility to navigate the dynamic landscape of emerging AI technologies
Communication Excellence: Skills to articulate complex technical concepts to both technical and non-technical audiences
Results-Oriented Mindset: Drive to translate research innovations into practical, commercial solutions
Intellectual Curiosity: Passion for continuous learning and staying at the cutting edge of neuromorphic computing

View full posting on CareerOneStop → ID: a096506ce683

Research Scientist I

Seattle Children's · Seattle, WA

Entry-level Bachelor's

2026-05-28

WA 2026-05-28

Preferred

Research experience in biochemistry, molecular biology, and tissue culture techniques is highly preferred.

Education

Bachelor's degree in an engineering or scientific discipline.
Prior experience in a laboratory setting; may include relevant educational programs.
*Required Credentials

View full posting on CareerOneStop → ID: 6392f1f292c8

Senior Research Scientist, Superconducting Digital Electronics, Quantum AI

Google · Seattle, WA

Senior Doctorate

2026-05-28

WA 2026-05-28

Requirements

Master's degree in Electrical Engineering, Physics, related engineering discipline, or equivalent practical experience.
Experience in superconductor logic families (e.g., RSFQ, ERSFQ, RQL, HFQ, AQFP).
Experience performing tape-out of a superconducting IC chip.
One or more published research paper or presentation at a relevant scientific conference.

Preferred

PhD in physics, electrical engineering, or a related engineering discipline.
7 years of research/industry experience in the design and simulation of superconductor digital logic circuits with 3 years of experience leading an Research and Development (R&D) group towards tape-out and demonstration of superconducting IC chips.
Experience with full digital design flow including RTL, synthesis, verification, timing closure, place-and-route, and post-fabrication validation.
Experience with low-temperature measurements of superconductor digital logic circuits.
Experience with superconducting qubits.
Proficiency with computer-aided design tools and electromagnetic simulation tools.

Responsibilities

As a Research Scientist, your primary focus will be designing and simulating superconductor digital logic circuits (such as single flux quantum (SFQ) logic and adiabatic quantum flux parametron (AQFP) logic) for qubit control and readout. You will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. You will also interface with fabrication engineers to help define and establish IC design standards that are compatible for both the sensitive superconducting qubits and the co-located cryogenic control electronics. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computer.
This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computers.
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Design and simulate superconductor digital logic circuits (such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic,?and other emerging superconductor logic families) for generating waveforms tailored to qubit control and readout.
Develop superconductor digital logic systems enabling multiplexed qubit control and readout.
Address issues in the integration of superconductor digital electronics such as multi-layer cell design, full-chip clock synchronization, flux trapping, and signal integrity.
Collaborate with teams focused on design, fabrication, and measurement to validate fully integrated quantum processors.
Publish research papers and present at leading scientific conferences to advance and enhance publicity.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 0879c4422ca8

Senior Research Scientist, Survey Methods, Amazonian Leadership Experience

Amazon · Seattle, WA

Senior Doctorate

2026-05-27

WA 2026-05-27

Requirements

3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
PhD, or Master's degree and 5+ years of quantitative field research experience
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Experience communicating qualitative research methods and findings to non-qualitative researchers

Preferred

Experience converting research studies into tangible real-world changes
Experience working with big data, machine learning and predictive modeling
5+ years of applied research experience
Experience leading projects across multiple stakeholders
Experience with the full range of research methods: qualitative and quantitative, attitudinal and behavioral, with deep expertise in one or more areas
5+ years of advising and influencing leadership experience
Experience in survey design and datasets
Experience conducting statistical inference, hypothesis testing, and fitting ML predictive models using large administrative and survey databases
Experience developing and validating survey measures or assessments
Advanced Statistics (longitudinal data analysis, factor analysis, IRT, causal analysis, HLM, cluster analysis or SEM/Path Analysis)

Responsibilities

Design a scalable global content development and validation strategy to drive more effective decisions and improve the employee experience across all of Amazon
Conduct psychometric and econometric analyses to evaluate integrity and practical application of survey questions and data
Identify research streams to evaluate how to mitigate or remove sources of measurement erro
Drive effective collaborations across multi-disciplinary research and product teams
Manage full life cycle of large-scale research programs (Develop strategy, gather requirements, manage and execute)

View full posting on CareerOneStop → ID: a3550919a54e

Research Scientist (Temporary), RGUD

University of Washington · Olympia, WA

Mid-level Doctorate

2026-05-27

WA 2026-05-27

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Applicants who do not meet these qualifications will not be forwarded to the Hiring Department.
Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related experience.
This recruitment requires a cover letter. Applications that do not include a cover letter will not be forwarded to the hiring department.
Please address the following in your cover letter:
Please include any information that you would like to share with the team that demonstrates why you would be a good fit for the position that you may not otherwise see through just your resume.
Please include at least three references with at least one reference being a past or current supervisor.

Preferred

Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings.
Excellent analytic, critical thinking, and quantitative skills.
Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key.
Experience devising and executing statistical modeling techniques.
Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code.
Ease in designing, executing, and troubleshooting code in R.
Excellent written and oral communication skills required, including track record of success in co-authorship on multiple scientific papers, presenting results, and representing research at meetings.
Demonstrated ability to contribute to and sustain collaborations with external research teams.
Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work.
Ability to work both independently and in collaboration with a team.
A long-term interest in a research scientist position contributing to the overall mission of our research.
MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred.
Experience with hepatic or other digestive disease epidemiology strongly desired. Experience with endocrine, metabolic, or genitourinary disease epidemiology also somewhat desirable.
Expertise in implementing statistical models in a cluster environment to conduct analyses of large datasets and produce large numbers of estimates.
Experience applying rigorous approaches to model selection, testing, vetting and visualization.
Experience with machine learning, data mining, and analytic techniques.
Experience mentoring and developing junior employees on soft and technical skills.
Experience with project management methods.
Peer-reviewed publication record.

Responsibilities

*The Institute for Health Metrics and Evaluation (IHME) has an outstanding opportunity for a Research Scientist to join their Reproductive, Genitourinary and Digestive (RGUD) disease estimation team.
Exhibit command of one or more of the research areas in the RGUD portfolio, including the methodology and its components. Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. (45%)
Develop and implement new computational and statistical methods. Create, test, and use relevant computer code in R. Maintain, modify, and execute analytic machinery that generates results. Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. (20%)
Assist in drafting presentations and manuscripts and contribute to funding proposals. Lead and co-author scientific articles in peer-reviewed journals. (15%)
May lead and/or mentor junior staff. Provide ideas and content for the development of internal trainings. Teach established trainings. Contribute to research design. (10%)
Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. (5%)
Other duties as assigned that fall within reasonable scope of research team. (5%)

View full posting on CareerOneStop → ID: 75bda1a8192a

Principal AI Research Scientist Post-Training Alignment Reinforcement Learning Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU

Autodesk · Portland, OR

Senior Doctorate

2026-05-27

WA 2026-05-27

Requirements

Deep hands-on expertise in reinforcement learning for foundation models, and fluency with post-training methods (RLHF, RLAIF, DPO, PPO, or adjacent approaches)
Proven experience leading or mentoring technical research teams - whether in an academic lab, AI research organization, or industry setting
Strong intuition for model behavior, alignment challenges, and post-training trade-offs
Experience designing evaluation systems and thinking rigorously about what it means for a model to be ready
Ability to communicate complex technical trade-offs clearly to both technical and non-technical audiences
A PhD or equivalent depth of industry research experience in ML, RL, AI, or a related field
Experience at a frontier model lab or advanced applied AI organization
A strong publication record at leading ML or AI venues
Background in alignment research, preference learning, or agentic AI
Experience deploying or supporting production AI systems
Familiarity with large-scale training infrastructure and compute trade-offs

Responsibilities

Autodesk's domains - architecture, engineering, construction, manufacturing, media & entertainment - provide a distinctive research environment: rich structured data, long-horizon reasoning tasks, and real-world evaluation grounded in professional workflows. Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational design tools give us something most labs don't have: high-fidelity, domain-grounded verifiers that can serve as reward signals for post-training. Rather than relying solely on human preference data, we can ground reinforcement learning in the laws of physics and the constraints of real engineering. These are exactly the kinds of challenges - and assets - that make post-training and alignment research here genuinely distinctive.
We publish at NeurIPS, ICML, ICLR, CVPR, and SIGGRAPH. We collaborate with leading academic and industry labs. And we have a direct line from research advances to product impact at scale. This is not a role where research sits behind a wall from engineering - you will see your work matter.
*Respoinsibilities
Post-training for model development - from RLHF and preference optimization to agentic systems and long-horizon reasoning
Develop novel algorithms that improve model reliability, controllability, and alignment
Make principled architectural decisions about when to address challenges at the pre-training, post-training, or system level
Design and run experiments that shape model behavior, robustness, and reasoning quality
Partner with infrastructure teams to build scalable, reproducible post-training workflows
Contribute to publications, patents, and Autodesk's external research visibility
Design evaluation frameworks for long-horizon reasoning, tool use, agentic behavior, safety, and real-world workflow completion
Lead rigorous model analysis and interpretability efforts
Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Establish model readiness criteria and provide go/no-go recommendations for releases
Communicate technical risks, limitations, and trade-offs clearly to leadership

View full posting on CareerOneStop → ID: d3f27b9f7a9e

Computer Engineer, Central CAD

Micron Technology, Inc. · Boise, ID

Mid-level Bachelor's

2026-05-24

ID 2026-05-24

Requirements

Bachelor's degree or equivalent experience in Computer Engineering, Computer Science, or a related field
Strong programming fundamentals with demonstrated problem-solving ability
Effective communication skills in a collaborative engineering environment
Experience working in Linux/Unix environments and with shell scripting

Preferred

Direct CAD and Physical Verification rule deck (DRC/LVS) development experience.
Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification
Experience with CMOS implementation tradeoffs including area, speed, and powe
Experience with Cadence and Calibre EDA tools.
Prior work supporting or developing EDA design flows
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .

Responsibilities

Develop and enhance EDA tools, flows, and methodologies for CMOS design and verification
Debug, evaluate, and support in-house and commercial EDA solutions in a production environment
Collaborate closely with design and process teams to solve workflow and tool challenges
Document processes and provide training and support for end users

View full posting on CareerOneStop → ID: 24b3581af9ae

Computer Engineer, Central CAD

Micron Technology, Inc. · Boise, ID

Mid-level Bachelor's

2026-05-24

ID 2026-05-24

Requirements

Bachelor's degree or equivalent experience in Computer Engineering, Computer Science, or a related field
Strong programming fundamentals with demonstrated problem-solving ability
Effective communication skills in a collaborative engineering environment
Experience working in Linux/Unix environments and with shell scripting

Preferred

Direct CAD and Physical Verification rule deck (DRC/LVS) development experience.
Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification
Experience with CMOS implementation tradeoffs including area, speed, and powe
Experience with Cadence and Calibre EDA tools.
Prior work supporting or developing EDA design flows
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .

Responsibilities

Develop and enhance EDA tools, flows, and methodologies for CMOS design and verification
Debug, evaluate, and support in-house and commercial EDA solutions in a production environment
Collaborate closely with design and process teams to solve workflow and tool challenges
Document processes and provide training and support for end users

View full posting on CareerOneStop → ID: da0fb895b5a6

Research Scientist IV

Actalent · Seattle, WA

Mid-level Doctorate

2026-05-23

WA 2026-05-23

Requirements

Hands-on expertise with molecular biology, microbiology, and biochemistry methods.
Familiarity with modern laboratory data analysis tools and methodologies.
Ability to work successfully in an entrepreneurial environment.
Excellent organizational skills with attention to detail and record keeping.
Strong verbal and written communication skills.
Knowledge of laboratory equipment safety procedures and handling of chemical and biohazards.

Preferred

PhD degree in life sciences such as Biochemistry, Genetics, Molecular Biology, or Microbiology with 8-10 years of related commercial experience.
Ability to work within multidisciplinary teams at the interface of life science and computer science.
Broad familiarity with different life sciences areas.
Hands-on experience in high-throughput research, including operation of liquid handlers.
Proficiency in SQL and Python.
Analytical skills with experience in data science, marketing analytics, and creative effectiveness.
3 years of experience in related fields.

Responsibilities

Execute laboratory workflows from planning to data analysis.
Recognize, document, and escalate protocol deviations.
Ensure all equipment and instruments are in good operating condition and troubleshoot malfunctions.
Maintain updated knowledge of lab methods.
Provide feedback on workflows and develop solutions for workflow improvements.
Collaborate with researchers to extend and interpret advanced analytical methodologies.
Facilitate interactions with collaborators to enhance analytical methods.
Adapt to unexpected schedule changes and respond to emergencies.

View full posting on CareerOneStop → ID: d96002ffb0fa

Research Scientist IV

Actalent · Seattle, WA

Mid-level Doctorate

2026-05-23

WA 2026-05-23

Requirements

Hands-on expertise with molecular biology, microbiology, and biochemistry methods.
Familiarity with modern laboratory data analysis tools and methodologies.
Ability to work successfully in an entrepreneurial environment.
Excellent organizational skills with attention to detail and record keeping.
Strong verbal and written communication skills.
Knowledge of laboratory equipment safety procedures and handling of chemical and biohazards.

Preferred

PhD degree in life sciences such as Biochemistry, Genetics, Molecular Biology, or Microbiology with 8-10 years of related commercial experience.
Ability to work within multidisciplinary teams at the interface of life science and computer science.
Broad familiarity with different life sciences areas.
Hands-on experience in high-throughput research, including operation of liquid handlers.
Proficiency in SQL and Python.
Analytical skills with experience in data science, marketing analytics, and creative effectiveness.
3 years of experience in related fields.

Responsibilities

Execute laboratory workflows from planning to data analysis.
Recognize, document, and escalate protocol deviations.
Ensure all equipment and instruments are in good operating condition and troubleshoot malfunctions.
Maintain updated knowledge of lab methods.
Provide feedback on workflows and develop solutions for workflow improvements.
Collaborate with researchers to extend and interpret advanced analytical methodologies.
Facilitate interactions with collaborators to enhance analytical methods.
Adapt to unexpected schedule changes and respond to emergencies.

View full posting on CareerOneStop → ID: d64854c40ac4

Research Scientist, Last Mile

Amazon · Bellevue, WA

Mid-level Doctorate

2026-05-23

WA 2026-05-23

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience in any Bigdata architecture, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in software development
Proficiency working with Python and other high-level languages like Java/C++/Scala with at least 5 years of coding experience
Strong fundamentals in problem solving, algorithm design and complexity analysis.
Proven track in leading, mentoring, and growing teams of scientists.
Excellent written and verbal communication skills with technical and business teams; ability to speak at a level appropriate for the audience. The ideal candidate can present business cases and document the models and analysis and present the results in order to influence important decisions.

Preferred

Have experience of building mathematical models to represent a wide range of supply chain, transportation or logistics systems.
Extensive knowledge and practical experience in several of the following areas: forecasting, capacity planning and optimization, statistics and pricing.
Work well in a fast-moving team environment and effectively deliver technical implementations having complex dependencies and requirements

Responsibilities

Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.

View full posting on CareerOneStop → ID: 2a3f0d264103

Senior Research Scientist, AI2 Research

Google · Kirkland, WA

Senior Doctorate

2026-05-23

WA 2026-05-23

Requirements

PhD in Computer Science, a related field, or equivalent practical experience.
2 years of experience leading a research agenda.
Experience coding in Python, JavaScript, R, Java, or C++.
One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred

2 years of coding experience.
1 year of experience leading research efforts and influencing other researchers.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Join a great team of research scientists and engineers that are addressing real world problems for Google to help AI transform the world!
The team addresses AI research issues motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solving grand scientific and engineering issues in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of unique problems with the goal of maximizing both scientific and real-world impact - both pushing the AI in top venues and collaborating across teams to bring innovations to production.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Author research papers to share and generate impact of research results across function and in the research community.
Help in growing research business by sharing research trends and best practices within the community.
Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 2b31c3a0ce82

Staff Research Scientist, AI2 Research

Google · Kirkland, WA

Senior Doctorate

2026-05-23

WA 2026-05-23

Requirements

PhD in Computer Science, a related field, or equivalent practical experience.
4 years of experience with research agendas across multiple teams or projects.
Experience in one or more of the following programming languages: Java, C++ and Python.
One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred

2 years of experience in coding and leading multiple research efforts and influencing research direction.
Extensive programming experience in Python, and deep learning frameworks like TensorFlow/Jax/Pytorch.
Experience in one or more of the following areas: Natural Language Understanding , Machine Learning, Deep Learning, Algorithmic Foundations of Optimization , Data Mining, or Artificial Intelligence.
Experience developing ML solutions for real world problems.
Experience in deep learning, distributed training.
Excellent communication skills.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Join a team of research scientists and engineers that are managing real world problems for Google to help AI transform the world!
The team tackles AI research challenges motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solve grand scientific and engineering challenges in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of high-impact problems with the goal of maximizing both scientific and real-world impact - both pushing the state-of-the-art in AI in top venues and collaborating across teams to bring innovations to production.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Author research papers to share and generate impact of research results across organization and in the research community.
Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 4ee5246bb1ee

Computer Engineer, Central CAD

Micron Technology, Inc. · Boise, ID

Mid-level Bachelor's

2026-05-23

ID 2026-05-23

Requirements

Bachelor's degree or equivalent experience in Computer Engineering, Computer Science, or a related field
Strong programming fundamentals with demonstrated problem-solving ability
Effective communication skills in a collaborative engineering environment
Experience working in Linux/Unix environments and with shell scripting

Preferred

Direct CAD and Physical Verification rule deck (DRC/LVS) development experience.
Background in VLSI, IC design, or CAD tools for schematic, layout, simulation, or verification
Experience with CMOS implementation tradeoffs including area, speed, and powe
Experience with Cadence and Calibre EDA tools.
Prior work supporting or developing EDA design flows
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .

Responsibilities

Develop and enhance EDA tools, flows, and methodologies for CMOS design and verification
Debug, evaluate, and support in-house and commercial EDA solutions in a production environment
Collaborate closely with design and process teams to solve workflow and tool challenges
Document processes and provide training and support for end users

View full posting on CareerOneStop → ID: 1e1c209ffa0d

Research Scientist

California Institute of Technology · Richland, WA

Mid-level Doctorate

2026-05-23

WA 2026-05-23

Requirements

A Ph.D. degree in Physics, Engineering, Optics or related field. In lieu of a Ph.D we will consider 6 years of relevant experience.
A minimum of 4 years of post-PhD experience in working with interferometers/optical systems, and/or scientific data analysis, and/or feedback control systems, and/or signal processing.
Experience working in a multi-disciplinary research environment.
Possess good verbal and written communication skills, a team attitude, and a high degree of professional discipline.
Experience in length calibration of kilometer-scale gravitational wave detectors.

Preferred

Proficiency with scientific computation, simulation and data analysis in p

Responsibilities

LIGO Hanford Observatory (LHO) relies on continuous efforts by science and operations teams to characterize and improve i) the 4-km interferometer displacement sensitivity, and ii) improve uptime of the interferometer. Both of these enterprises increase the rate of detection of gravitational wave events recorded by the network of detectors that includes LIGO, Virgo, and KAGRA interferometers.
The successful candidate will collaborate with commissioning scientists and the Operations team at LIGO Hanford Observatory, as well as colleagues at LIGO Livingston Observatory, Caltech, and MIT.
As LHO Scientist, you will have the opportunity to apply your skills to the design, development, implementation, and commissioning of technologies that increase the Advanced LIGO detector sensitivity and robustness. This is a highly multidisciplinary activity. Your interests and passions will play a role in defining on which research aspect you will focus primarily: design and implement technologies and algorithms (including feedback control design and implementation) to reduce the noise sources that limit the current detector sensitivity; model optical subsystems of the interferometer and compare to data; calibrate the interferometer length sensitivity; investigate and eliminate noise couplings from the external environment of the detector; carry out R&D projects for future gravitational wave detectors, are among the many topics that are involved in the duties of a LIGO Hanford Observatory Scientist. You will have the opportunity to apply your knowledge to many different parts and aspects of the Advanced LIGO detectors, and there will be many opportunities to develop new skills and expertise.
Improve the detector's sensing and control systems that govern optical cavity lengths and angles, including both servo-control stability and noise performance.
Identify and minimize coupling of environmental disturbances into detector systems.
Develop techniques and algorithms to characterize and remove noise sources.
Study noise couplings, high-power operations, and thermal compensation via interferometer modeling.
Aid in the calibration of the length sensitivity of the interferometer.
Initiate or collaborate in writing research papers and technical presentations.
Present research results and highlights at national and international conferences.
After-hours and weekend work is occasionally required to support commissioning efforts. This position requires occasional travel to other LIGO installations and collaborating institutions in Livingston, Louisiana, Pasadena, California, Cambridge, Massachusetts, and possibly internationally.
Other duties as assigned.

View full posting on CareerOneStop → ID: a769949116e3

Research Scientist, Gemini Vision, DeepMind

Google · Seattle, WA

Mid-level Doctorate

2026-05-22

WA 2026-05-22

Requirements

PhD degree, or equivalent practical experience.
Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
Experience in an applied research setting.
Experience with large language models, NLP, or generative AI.

Preferred

Experience in large-scale training of multimodal foundation models.
Experience in running AI/ML training workloads or inference workloads on Graphics Processing Unit (GPU) or Tensor Processing Unit (TPU).
A proven track record of designing and implementing Agentic workflows and autonomous AI systems.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer different learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Conduct original research in multimodal AI (Gemini), including vision-language models (VLMs), image understanding, OCR and document intelligence, spatial reasoning and embodied perception, image-text alignment and retrieval, agentic multimodal systems, scaling laws, and data infra, pipeline, training data attribution, and mixture optimization.
Design, train, and evaluate large-scale transformer-based architectures for image and video understanding.
Develop novel methods for multimodal pretraining, instruction tuning, alignment, and reinforcement learning.
Collaborate with cross-functional teams to transition research ideas into production-grade Gemini capabilities.
Contribute to research direction, experimental design, and scientific strategy within the Gemini organization.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: a3d1d071c21c

Research Scientist, Gemini Vision, DeepMind

Google · Kirkland, WA

Mid-level Doctorate

2026-05-22

WA 2026-05-22

Requirements

PhD degree, or equivalent practical experience.
Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
Experience in an applied research setting.
Experience with large language models, NLP, or generative AI.

Preferred

Experience in large-scale training of multimodal foundation models.
Experience in running AI/ML training workloads or inference workloads on Graphics Processing Unit (GPU) or Tensor Processing Unit (TPU).
A proven track record of designing and implementing Agentic workflows and autonomous AI systems.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer different learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Conduct original research in multimodal AI (Gemini), including vision-language models (VLMs), image understanding, OCR and document intelligence, spatial reasoning and embodied perception, image-text alignment and retrieval, agentic multimodal systems, scaling laws, and data infra, pipeline, training data attribution, and mixture optimization.
Design, train, and evaluate large-scale transformer-based architectures for image and video understanding.
Develop novel methods for multimodal pretraining, instruction tuning, alignment, and reinforcement learning.
Collaborate with cross-functional teams to transition research ideas into production-grade Gemini capabilities.
Contribute to research direction, experimental design, and scientific strategy within the Gemini organization.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: e0f302d3ca4f

Senior Quantum AI Research Scientist, Applied Research

NVIDIA · Redmond, WA

Senior Doctorate

2026-05-22

WA 2026-05-22

Responsibilities

Design and architect AI/ML models-including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents-for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem.
Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale.
Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures.
Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops.
Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving.
What we need to see:
Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.
8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains.
Deep expertise in machine learning and deep learning-including model architecture design, training at scale, and evaluation-applied to scientific or engineering problems.
Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.
Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product.
Ways to stand out from the crowd:
Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms).
Experience with large-scale model training and fine-tuning-including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models.
Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads.
Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads.
Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem.
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

View full posting on CareerOneStop → ID: 74bb0cd54089

Path Tracing/ML Research Engineer

Intel · Hillsboro, OR

Mid-level Doctorate

2026-05-22

WA 2026-05-22

Requirements

*Minimum qualifications, you must possess the below minimum qualifications to be initially considered for this position :
20+ years of experience in C/C++.
15+ years GPU software development and performance optimization.
1+ years of real-time ray/path tracing on GPUs using Vulkan/DirectX.
1+ years of mathematical modeling, algorithms, and AI-related math concepts.
*Preferred Qualifications, are in addition to the minimum requirements and are considered a plus factor in identifying top candidates :
Experience in customer-facing roles or collaborations that improve the adoption and performance of technical products.
Communication and teamwork skills to work effectively in cross-functional environments.
Passion for innovation and advancing the state of the art in ray tracing technologies.

Education

Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related field, with 9+ years of experience,
OR Master's degree in Computer Science, Software Engineering, Mathematics, or a related field with 6+ years of experience,
OR PhD in Computer Science, Software Engineering, Mathematics, or a related field with 4+ years of experience.

Responsibilities

Designs, develops, integrates, tests, validates, and/or debugs software to enable or utilize ray tracing.
Understands internal and external partner software and develops software across the stack (spanning firmware, drivers, OS, middleware, frameworks, algorithms, and applications) as required to enable and optimize specific ray tracing features, capabilities, solutions, reference platforms, or Intel products.
May include the development of reference ray tracing software and improving or enabling customer designs to obtain the greatest value of Intel ray tracing products, the development and/or optimization of workloads for ray tracing benchmarks, and workloads for simulation, performance analysis, and architecture recommendations.

View full posting on CareerOneStop → ID: 62bed05b637f

Research Scientist/Engineer 1 (Temporary)

University of Washington · Seattle, WA

Mid-level

2026-05-22

WA 2026-05-22

View full posting on CareerOneStop → ID: 4182bff74cd7

Research Scientist/Engineer 3

University of Washington · Seattle, WA

Mid-level

2026-05-22

WA 2026-05-22

View full posting on CareerOneStop → ID: d99356341806

Research Scientist/Engr Assistant

University of Washington · Seattle, WA

Mid-level

2026-05-22

WA 2026-05-22

View full posting on CareerOneStop → ID: e3067d705bca

Research Scientist/Engineer 2

University of Washington · Seattle, WA

Mid-level Master's

2026-05-21

WA 2026-05-21

Requirements

"To be considered for this opportunity you
application must demonstrate you meet both the minimum qualifications and additional
qualifications listed below. Equivalent education and/or experience may substitute fo
minimum qualifications except when there are legal requirements, such as a license,
certification, and/or registration."
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
Bachelor's Degree in Biochemistry, Chemistry or related field and 2 years of relevant experience in modern peptide synthesis techniques, purification and analysis.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Strong communication and organization skills and great attention to detail
A willingness to acquire new skills and learn on the job.
Proficient in modern peptide synthesis techniques, purification and analysis
At least three years of full-time laboratory experience
Proficient with peptide chemistry and/or synthetic chemistry and/or medicinal chemistry
Experience with lab instrument use and upkeep of: peptide synthesizers (CEM, Gyros), lyophilizers (SP, Labcon), rotovaps (Buchi), LC/MS (Agilent), HPLCs (Agilent)
*Field of Research:
Located at the University of Washington in Seattle, the Institute for Protein Design is a unique interdisciplinary environment where world-class researchers create new biomolecules. Our mission is to create proteins that solve modern challenges in medicine, technology, and sustainability. Joining our team means becoming part of one of the largest and most innovative public universities in the world. Your work here will support scientific inquiry and help ensure that laboratory breakthroughs lead to positive impact.

Responsibilities

*The Institute for Protein Design has an outstanding opportunity for Research Scientist/Engineer 2 to join their team.
(60%) Work with other Core R&D Lab members to accomplish research goals focused on peptide design and characterization. Specifically, the duties and responsibilities include:
Produce a wide variety of synthetic peptides and "peptide-like" compounds utilizing solid-phase peptide synthesis (SPPS) with standard peptide chemistry techniques and using automated peptide synthesizers.
Design and carry out multi-step syntheses utilizing organic chemistry techniques such as TLC, rotovap, flash chromatography, air-free techniques, and NMR.
Optimize existing standard operating procedures for yield, efficiency, and throughput of peptides.
Explore strategies to improve the throughput and quality of peptide synthesis pipelines.
Document protocols run in the wet lab
Review, analyze, and troubleshoot all experimental results
(10%) Establishing and nurturing productive relationships with research colleagues, students, administrators, and others at IPD, including:
Training IPD researchers on Core-specific workflow for peptide synthesis and purification.
Work directly with Principal Investigators, postdoctoral fellows, graduate students, and laboratory staff in assisting with and conducting experiments.
(15%) Perform routine data analysis of de novo proteins utilizing intact protein mass spectrometry
Maintain and troubleshoot LC/MS instrumentation (Agilent)
Develop and implement new methods as called for optimization of intact protein mixtures, antibodies
Process and deconvolute results via software such as Agilent BioConfirm and PMI-Byos
Work directly with researchers-postdoctoral fellows, graduate students, and laboratory staff-in communication of troubleshooting and results
(5%) Maintain databases and inventories. This includes:
Preparation and maintenance of standard laboratory stocks and reagents necessary to research workflow
Maintain inventory for all chemicals, supplies, reagents, and biological samples
Maintain and troubleshoot laboratory equipment, including prep-scale HPLCs (Agilent), peptide synthesizers (CEM, Gyros), flash chromatography system (Biotage), and lyophilizers (Labcon)
Work with Laboratory Manager to assist with laboratory-wide EH&S compliance
(5%) Assist with managing undergraduate research assistants.
(5%) Present scientific data, attend meetings and team building events.

View full posting on CareerOneStop → ID: 74d8988a7c16

Research Scientist/Engr 2

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-05-21

WA 2026-05-21

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license,
certification, and/or registration.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
Bachelor's Degree in Biochemistry, Biology, or related fields and 2 years of relevant experience with molecular biology and/or protein biochemistry.
substantial molecular biology and/or protein biochemistry experience
strong experience with computational biology and/or general programming
demonstrated ability for high-quality, reproducible experimental work
prior contributions to the development, optimization, automation, and standardization of higher throughput molecular biology or protein workflows
significant experience with automated or semi-automated systems for high-throughput data generation
experience working in a platform-focused group with expectations to support a wide-range of partners
eagerness and ability to learn and engage in new topics and scientific domains
self-motivated and self-directed
organizational aptitude to work on multiple concurrent projects.

Preferred

mass spectrometry experience

Responsibilities

*Institute for Protein Design (IPD) has an outstanding opportunity for a Research Scientist/Engr 2 to join thei
Scientific platform development and project execution (50%)
end-to-end implementation of high-throughput workflows to generate protein functional data
development of robust protein and molecular biology workflows
execution of standard molecular biology and protein protocols
writing and troubleshooting of protocols
Computation/programming (25%)
execution of, and contribution to, machine learning codebase
writing scripts to support data processing, automation, workflow implementation
Data curation and analysis (10%)
analysis of experimental data in a standardized format
deposition of data in centralized data repository
gain insights with data to inform future experiments
support the continued development of our internal results database
Coordination and communication (5%)
engagement with IPD colleagues and external partners to discuss project plans and results
contribute to publications
train IPD colleagues on experimental workflows and equipment
Wet lab organization and maintenance (5%)
work with IPD colleagues to ensure lab is well-organized and that instruments are maintained for proper performance

View full posting on CareerOneStop → ID: 8c12a1429ca5

Research Scientist Manager 2

Northrop Grumman · Corinne, UT

Manager Doctorate

2026-05-21

ID 2026-05-21

Requirements

Bachelor's degree in engineering or science discipline with 8 years of professional experience - OR - Master's degree with 6 years of professional experience - OR - PhD with 4 years of professional experience.
Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance
Strong understanding of nozzle design, manufacture, and testing
Must possess at least 3 years of nozzle experience
Strong knowledge of and experience with production program requirements
Experience in conducting/supporting technical reviews
Working knowledge and/or experience across multiple engineering disciplines and their interactions
Excellent communication, interpersonal skills, and the ability to interface with all levels of employees, management, and customers
Prior experience guiding and mentoring lower-level engineers and scientists

Preferred

Strong understanding of C-C designs and products (both 2D and 3D)
Previous lab and/or production experience with C-C
Previous experience with IRAD compliance requirements
Previous experience of achieving work through others
Previous experience working through interpersonal conflict
Experience generating Basis of Estimates (BOEs) for new work scope, and managing costs to an established budget
Experience presenting to senior leadership
Proven leadership qualities and strong interpersonal skills
Experience with anomaly investigations identifying cause and corrective actions
As a leader with integrity, you ensure ethical conduct, balanced results, and partner satisfaction. You respect and nurture growth, fostering a culture of excellence. Skilled in building collaborative teams and customer trust, you communicate well, foster strong teams, and embrace change.
Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below:
https://www.northropgrumman.com/space
Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site.
Northrop Grumman Total Rewards (https://totalrewards.northropgrumman.com/?\_gl=1*1y2u5rc*\_gcl\_au*MTkyMjcyNDUxNS4xNzUyNTg4MDg3*\_ga*MzA4NDM5NjgzLjE2NzM5ODM3ODg.*\_ga\_7YV3CDX0R2*czE3NTMyNzU3NDgkbzEyMzckZzEkdDE3NTMyNzY2ODQkajU5JGwwJGgw)

View full posting on CareerOneStop → ID: 2226887e57ea

Research Scientist III - AMZ9443129

Amazon · Seattle, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: acd2edb25e76

Research Scientist III - AMZ9443129

AMAZON.COM SERVICES LLC · Seattle, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: d8f94a1de0e4

Field Computer Specialist

U-Haul · Lynnwood, WA

Mid-level

2026-05-20

WA 2026-05-20

Requirements

Experience with technologies such as networking, administration, security-monitoring equipment, storage gates, alarm systems, doors, digital video equipment, printers, computers, VoIP, analog phones, air phones and cash drawers
Current, valid driver's license and clean driving record

Responsibilities

Maintain maximum uptime for computer systems and associated broadband connectivity.
Implement and maintain field computer systems for all entities within the assigned area.
Support and train users as needed.
Distinguish between user error and problems requiring escalation to other support teams or software vendors.
Identify and coordinate solutions for security gaps and compliance issues.
Participate in ongoing continuous U-Haul education through U-Haul University

View full posting on CareerOneStop → ID: d646db8cf0d2

AI Research Scientist -Generative AI for Materials Discovery

Meta · Redmond, WA

Mid-level

2026-05-19

WA 2026-05-19

Requirements

AI Research Scientist -Generative AI for Materials Discovery Responsibilities:
Develop, train, and deploy generative models (diffusion models, flow matching, variational autoencoders, transformer-based architectures) for molecular and crystal structure generation, property-conditioned design, and crystal structure prediction (CSP)
Design and implement reinforcement learning and alignment strategies (e.g., physics-informed reward signals from machine-learned interatomic potentials) to steer generative models toward physically stable and synthesizable candidates
Build foundational models and scalable pretraining pipelines that unify generative and predictive learning across molecules and crystalline materials, handling both discrete atom types and continuous 3D geometries
Collaborate closely with computational chemists to integrate first-principles calculations (DFT, force fields), molecular dynamics simulations, and domain-specific constraints into generative workflows
Partner with AI agent scientists to embed generative molecular design capabilities into LLM-based multi-agent systems, enabling closed-loop autonomous experiment planning, candidate generation, and decision making
Curate, preprocess, and manage large-scale molecular and crystal structure datasets for model training and benchmarking
Establish rigorous evaluation frameworks - measuring validity, novelty, uniqueness, stability, and synthesizability of generated structures - and benchmark against state-of-the-art methods
Contribute to the architecture and roadmap of the autonomous materials-discovery platform, ensuring generative design modules interface seamlessly with robotic workcells, characterization instruments, and data infrastructure
3+ years of research experience in generative modeling applied to molecular systems, crystal structures, or materials science (academic or industry)
Familiarity with large-scale molecular and crystal databases and data processing pipelines for chemical data
Demonstrated expertise in deep generative models - including diffusion models, flow matching / continuous normalizing flows, variational autoencoders, or autoregressive models - with applications to 3D molecular or crystal structure generation
Programming proficiency in Python with hands-on experience in PyTorch or JAX
proficiency in building, training, and evaluating large-scale deep learning models
Track record of first-author publications in top-tier ML or computational chemistry venues (e.g., NeurIPS, ICML, ICLR, JACS, Nature Computational Science, Digital Discovery)
Solid understanding of crystallography fundamentals- and molecular representations (molecular graphs, SMILES, 3D conformers)

Preferred

Experience integrating ML models into agentic AI frameworks or LLM-based multi-agent systems for autonomous scientific discovery
Experience with crystal structure prediction (CSP) pipelines, including lattice energy ranking and structure relaxation using machine-learned interatomic potentials
Demonstrated ability to collaborate across disciplines - bridging ML research with experimental chemistry, materials science, and software engineering teams
Experience building or fine-tuning foundation models (100M+ parameters) for chemical or materials domains, including multimodal architectures that jointly handle molecular graphs, 3D coordinates, and periodic lattice structures
Knowledge of geometric deep learning, equivariant neural networks, or graph neural networks for molecular property prediction
Familiarity with reinforcement learning or RLHF-style alignment techniques applied to molecular or materials generation

Responsibilities

Meta's Reality Labs Research (RL-R) brings together a team of researchers, developers, and engineers to create the future of Mixed Reality (MR), Augmented Reality (AR), and Wearable Artificial Intelligence (AI). The Materials and Systems Innovation (MSI) group within Reality Labs Research creates and accelerates breakthrough materials and device technologies that unblock the path to low-cost, all-day wearable AR devices and advanced sensing and actuating systems for robotics. We identify key technology gaps requiring step-change innovation, build AI-driven autonomous discovery pipelines to compress development timelines, leverage external partners to accelerate research, and deliver high-quality technology solutions through cross-functional, high-performing teams.In this role, you will pioneer the application of generative AI to design novel compounds and molecular crystals, directly accelerating the discovery of next-generation materials for AR/VR devices and advanced robotic systems. Working at the frontier of deep generative modeling, computational chemistry, and agentic AI, you will develop and deploy state-of-the-art models - including diffusion models, flow matching, and transformer-based architectures - that predict and generate stable crystal structures and molecular candidates with target properties. Your work will be tightly integrated into our AI-driven autonomous discovery platform, collaborating with computational chemists and AI agent scientists to close the loop from molecular design to experimental validation.Together, we are going to build advanced prototypes, technologies, and toolsets that can advance how people interact with their surroundings. We invite you to join us as we work to bring these technologies from research to reality.

View full posting on CareerOneStop → ID: 8ad345dbfefc

Research Scientist 2 (Temporary)

University of Washington · Seattle, WA

Mid-level Master's

2026-05-19

WA 2026-05-19

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration."
Bachelor's degree in a Chemistry, Biochemistry, or related field and two years of experience with analytical chemistry and method development of small molecule analyzes, elemental analysis by ICPMS, and silica analysis by FTIR or XRD
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Preferred

Advanced hands-on and theoretical knowledge of complex instrumentation, specifically GC, HPLC, FTIR, XRD, XRF, GC/MS, LC/MS/MS, ICPMS, MARS, and IC. 3
working knowledge of Windows OS and Mac OS;
working knowledge of Agilent chemstation and Masshunter software;
basic knowledge of statistics;
familiar with Excel and Word software;
excellent interpersonal, organizational, analytical, and communication skills.
Experience with Laboratory Information Management Systems (LIMS) and Electronic Laboratory Notebooks (ELN)
3+ years experience in analytical chemistry and method development of small molecule analyzes
3+ years experience in elemental analysis by ICPMS; 3+ years experience in silica analysis by FTIR or XRD;
3 years experience as an analyst in an ISO/IEC 17025 certified laboratory;
Experience with LC-ICPMS; LA-ICPMS; LC-3Q; GC-3Q; LIMS Basic coding, LabWare LIMS/ELN, biohazard safety

Responsibilities

*The Department of Environmental and Occupational Health Sciences (DEOHS) has an outstanding opportunity for a Research Scientist 2 (Temporary) to join their team.
With guidance from senior staff modify methods for endogenous, exogenous compounds and metals in various and sometimes exotic matrices (20%)
Successfully complete internal and external quality control performance tests. Perform QA/QC per ISO/IEC 17025 requirements on laboratory data generated by others. Perform and pass proficiency testing in all of lab's AIHA accredited fields of testing. (20%)
Operate various computer-controlled instruments: GC, HPLC, FTIR, ICPMS, XRD as well as train and mentor other users and students on the instrument use. Carry out high-volume, preparation for sample sets of various size involving, microwave assisted digestion, solvent extractions, derivatization, and sample concentration. Many analyses are for trace-level contaminants and in any case, all require attention to detail to achieve quality control goals. Perform analysis of industrial hygiene and occupational health samples in support of investigations into worker safety in the State of Washington. (30%)
Perform routine instrument calibration/maintenance, routine/non-routine trouble-shooting. Modify complex analytical instrumentation (5%)
Review laboratory standard operating procedures for feedback on updates/revisions (5%)
Analyze and manipulate analytical data and prepare written reports of analytical activities (15%)
Oversee client analytical procedures and instrumentation needs. Consult with DEOHS laboratory managers and clients on analytical procedures and process development (5%)

View full posting on CareerOneStop → ID: 7afaa98c84da

Research Scientist RN - Hybrid

Providence St. Joseph Health · Renton, WA

Mid-level Doctorate

2026-05-17

WA 2026-05-17

Requirements

Bachelor's Degree in Nursing
Master's Degree in Nursing, Healthcare, Business, or other related area. If the master's degree is not in nursing, then the baccalaureate degree or doctorate must be in Nursing.
BSN to PhD program, with or without a formal master's degree meets this requirement.
Ph.D. in Nursing, Education, or related program.
Upon hire: Washington Registered Nurse License or Alaska Registered Nurse License, as appropriate
Within 2 years of hire: Hold a professional certification in this field, which is approved by ANCC, such as Certified Clinical Research Coordinator (CCRC) or Certified Clinical Research Professional (CCRP)
5 years leading or facilitating quality and evidence-based improvement projects
5 years experience as a PI or CoPI, or directing a variety of research studies
3 years teaching research processes to/for RNs

View full posting on CareerOneStop → ID: bd945041940f

Research Scientist/Engineer 1

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-05-17

WA 2026-05-17

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Bachelor's degree in a related field and one year of relevant experience. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Excellent organizational skills and flexibility to work in an environment with constantly shifting and occasionally conflicting priorities.
Ability to work with minimal supervision as well as collegially within diverse groups, following established guidelines.
Ability to take direction and communicate effectively with others.
Demonstrated ability to maintain confidentiality and use appropriate judgement in sensitive situations.
Ability to generate and maintain accurate, detailed records using appropriate medical language.
Independent computer skills, including basic skills to use email and navigate on the internet.
Be able to assist veterinarians in all situations.
Proficiency in drug calculations, formulations, and dilutions.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Adaptable, learns well in various environments.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.

Preferred

Certification LVT or Vet assistant, and 1 year of related experience
Experience administering and monitoring anesthesia in animals and performing other veterinary technical procedures.
Veterinary Licensure or ability to obtain one within 6 months of employment.
Knowledge of anatomy and physiology of non-human primates.
Proficiency with Microsoft Office applications.

Responsibilities

*The Washington National Biomedical Research Center at the University of Washington has an outstanding opportunity for a Research Scientist/Engineer 1 to join their team.
Clinical Care (45%): Plan, schedule, and administer treatments to research and colony animals under veterinary oversight. Observe and monitor animals for any clinical signs of illness, injury, or distress, and report findings promptly to the veterinary team.
Sample Collection (15%): Plan, coordinate, and collect clinical and research specimens and accurately document in databases.
Treatment Room Management (15%): Maintain treatment areas, drug inventories, and detailed clinical records.
Research Collaboration (10%): Work closely with PIs and veterinarians to support ongoing and new research protocols.
Surgical Support (10%): Assist with anesthesia and major surgeries, and independently perform minor clinical procedures after appropriate training.
Training & SOP Compliance (5%): Provide guidance to staff, ensure adherence to SOPs, and participate in required training.
This position performs essential services and may be required to work during any period of declared suspended operation.

View full posting on CareerOneStop → ID: 17f2cecebcb9

Research Scientist/Engineer 3

University of Washington · Seattle, WA

Mid-level Master's

2026-05-17

WA 2026-05-17

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Master's degree in a related field and three years of relevant experience.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Primatology (i.e., in-country research and/or training programs).
Must be willing to travel internationally three to six months per year.

Preferred

Strong organizational skills with the ability to prioritize multiple tasks.
Expertise in data-base management using Excel and Access.
Experience with social media or website design and management.
Outstanding interpersonal skills are essential to interact effectively with international collaborators, students, faculty, staff, and the public.
Ability/willingness to speak Spanish and to learn new languages like Bahasa Indonesia, Thai, Nepali.
Experience assisting with K-12, community college, and/or elderly outreach education programs both nationally and abroad.
*Condition of Employment
Appointment of the successful candidate to this position may be made contingent upon a satisfactory outcome of a criminal conviction history check.
Employment is contingent upon successful completion of health assessment at the UW's Employee Health Clinic. The health assessment may include but is not limited to tuberculosis clearance, measles clearance, serum banking, immunizations such as tetanus and vaccinia, physical exam and/or review of work health history, x-rays, and/or assessment to wear positive or negative respiratory protective equipment. These health assessments will be repeated periodically during work assignment.

Responsibilities

*The Washington National Biomedical Research Center (WaNBRC) has an outstanding opportunity for a Research Scientist/Engineer 3 to join their team.
Founded in 1961 by the National Institutes of Health (NIH), WaNBRC provides specialized resources for nonhuman primate research studies applicable to the solution of significant human health problems. An overview of WaNBRC research, organization and facilities can be found at www.wanbrc.org .
33% - Initiate and develop new research, training and community outreach education projects in line with the Global Programs Unit focus on primatology, conservation biology and global health.
33% - Assist with the conduct of unit-related research, training and outreach programs nationally and abroad.
Assist with the preparation and writing of grants, manuscripts, and program reports.
Present research at scientific meetings.
Develop educational materials for university-level field training programs and materials for K-12, community college and elderly outreach education programs.
Assist with arrangements for visiting scholars/delegations hosted by the Division.
Supervise students and volunteer staff assisting with unit-related programs.

View full posting on CareerOneStop → ID: 81e081cf950c

Research Scientist Intern, Multimodal AI (PhD)

Meta · Redmond, WA

Intern Doctorate

2026-05-16

WA 2026-05-16

Requirements

Research Scientist Intern, Multimodal AI (PhD) Responsibilities:
Design, implement, and maintain comprehensive evaluation protocols for large language models, including both automated and human-in-the-loop assessments.
Develop and curate high-quality datasets and benchmarks to measure model performance, safety, fairness, and robustness across a variety of tasks and modalities.
Analyze model outputs to identify strengths, weaknesses, and failure modes, and provide actionable insights to research and engineering teams.
Design and implementation of novel algorithms to solve audio research problems.
Collaboration with teams building Meta's language AI products.
Collaborate with researchers, engineers, and cross-functional partners to define evaluation goals, communicate findings, and drive improvements in model quality.
Develop tools and infrastructure to streamline and scale evaluation processes, including dashboards, annotation platforms, and reporting systems.
Stay up-to-date with the latest research in audio LLM evaluation, benchmarking, and responsible AI, and incorporate best practices into Meta's workflows.
Disseminate evaluation results through internal reports, presentations, and, when appropriate, external publications.
Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Generative AI, Transformer Models, Machine Learning, Signal Processing or Computer vision
3+ years experience with Python, Matlab, or simila
3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
Experience building novel audio computational models and LLM
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision or audio processing
Experience with audio and speech quality assessment
Experience with multichannel audio processing
Experience in visual and acoustic scene analysis
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or top computer vision and machine learning conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, ICASSP, InterSpeech or simila
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment
Intent to return to a degree-program after the completion of the internship/co-op

Responsibilities

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives.In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments.Meta Reality Labs Research is looking for experienced interns who are passionate about ground breaking research in audio signal processing, machine learning and audio visual learning to solve important audio-driven problems for AR/VR applications. We currently have open positions for a range of projects in multimodal representation learning, audio visual scene analysis, egocentric audio visual learning, multi-sensory speech enhancement and acoustic activity localization.Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

View full posting on CareerOneStop → ID: 7f94e9b7c2a6

Research Scientist Intern, Multimodal Contextual AI (PhD)

Meta · Redmond, WA

Intern Doctorate

2026-05-16

WA 2026-05-16

Requirements

Research Scientist Intern, Multimodal Contextual AI (PhD) Responsibilities:
Build and characterize experimental HW+SW systems on AR devices and device prototypes
Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP
Collaborate with other researchers and engineers across various disciplines
Currently has, or is in the process of obtaining a PhD in Computer Science, Electrical Engineering, or a related field
Programming and simulation experience with languages such as C/C++ and Python
Experience with computer architecture and HW/SW co-design and co-optimization
Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment

Preferred

Experience in HW+SW system prototyping using embedded device prototypes and FPGAs
Experience in operating systems, drivers, and embedded firmware development
Experience working in a machine learning framework, e.g. PyTorch
Experience working and communicating cross functionally in a team environment
Demonstrated embedded software experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Intent to return to degree-program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or simila

Responsibilities

At Reality Labs, our team brings novel experiences to life on Meta's AR devices. We are seeking upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device contextual AI within the performance, power and form-factor constraints of AR glasses.Within the vast domain of contextual AI, we are currently focusing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the state-of-the-art in one or more of these areas.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

View full posting on CareerOneStop → ID: 61421028aee4

Research Engineer, Preparedness - Meta Superintelligence Labs

Meta · Boise, ID

Mid-level Bachelor's

2026-05-15

ID 2026-05-15

Requirements

Research Engineer, Preparedness - Meta Superintelligence Labs Responsibilities:
Build and continuously refine evaluations for multimodal and agentic frontier AI models, including in cybersecurity, chemical security, and biosecurity
Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
Produce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speed
Scope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta's frontier models evolve
Work across research, engineering, policy, and legal teams to align evaluation priorities with launch timelines
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years of experience in machine learning engineering, machine learning research, or a related technical role
Proficiency in Python and experience with ML frameworks
Experience identifying, designing and completing medium to large technical features independently, without guidance
Proven experience in software engineering practices including version control, testing, and code review practices

Preferred

Experience implementing or developing benchmarks for agentic large language models and multimodal models (e.g., vision-language, audio, video, browser agents)
Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, AI safety, or deep learning
Experience working with large-scale distributed systems and data pipelines
Experience in red-teaming AI systems, adversarial machine learning, or abuse prevention systems
Background in biology or chemistry, particularly chemical, biological, radiological, and nuclear (CBRN) risk domains and experience designing evaluations or threat assessments related to dual-use scientific knowledge
Background in cybersecurity, penetration testing, or security research, particularly as it relates to assessing AI-enabled cyber capabilities or designing mitigations for AI-assisted exploitation
Track record of open-source contributions to ML evaluation tools or benchmarks

Responsibilities

Meta is seeking Research Engineers to join the Preparedness team within Meta Superintelligence Labs. The Preparedness team evaluates the increasing capabilities of our AI systems, with a focus on frontier AI capabilities and risks. We ensure that evaluations are in place to mitigate these risks and responsibly handle the development of frontier AI.As a Research Engineer on Preparedness, you will work alongside world-class AI researchers to develop new evaluations grounded in real world threat models, maintain existing evaluations so they remain current and reliable, and produce written artifacts that Meta can trust during high-stakes launches. This is a highly technical role requiring the ability to solve machine learning and engineering with high reliability. The evaluations you build will directly inform risk assessments and launch decisions within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. Preparedness is a highly interdisciplinary team, tightly connecting evaluations, internal red teaming, and mitigations for our frontier models. The evaluations you produce will be read and acted upon by Meta leadership during model launches and policy reviews.

View full posting on CareerOneStop → ID: 04b9f1b17269

Research Engineer, Preparedness - Meta Superintelligence Labs

Meta · Salem, OR

Mid-level Bachelor's

2026-05-15

OR 2026-05-15

Requirements

Research Engineer, Preparedness - Meta Superintelligence Labs Responsibilities:
Build and continuously refine evaluations for multimodal and agentic frontier AI models, including in cybersecurity, chemical security, and biosecurity
Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
Produce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speed
Scope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta's frontier models evolve
Work across research, engineering, policy, and legal teams to align evaluation priorities with launch timelines
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years of experience in machine learning engineering, machine learning research, or a related technical role
Proficiency in Python and experience with ML frameworks
Experience identifying, designing and completing medium to large technical features independently, without guidance
Proven experience in software engineering practices including version control, testing, and code review practices

Preferred

Experience implementing or developing benchmarks for agentic large language models and multimodal models (e.g., vision-language, audio, video, browser agents)
Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, AI safety, or deep learning
Experience working with large-scale distributed systems and data pipelines
Experience in red-teaming AI systems, adversarial machine learning, or abuse prevention systems
Background in biology or chemistry, particularly chemical, biological, radiological, and nuclear (CBRN) risk domains and experience designing evaluations or threat assessments related to dual-use scientific knowledge
Background in cybersecurity, penetration testing, or security research, particularly as it relates to assessing AI-enabled cyber capabilities or designing mitigations for AI-assisted exploitation
Track record of open-source contributions to ML evaluation tools or benchmarks

Responsibilities

Meta is seeking Research Engineers to join the Preparedness team within Meta Superintelligence Labs. The Preparedness team evaluates the increasing capabilities of our AI systems, with a focus on frontier AI capabilities and risks. We ensure that evaluations are in place to mitigate these risks and responsibly handle the development of frontier AI.As a Research Engineer on Preparedness, you will work alongside world-class AI researchers to develop new evaluations grounded in real world threat models, maintain existing evaluations so they remain current and reliable, and produce written artifacts that Meta can trust during high-stakes launches. This is a highly technical role requiring the ability to solve machine learning and engineering with high reliability. The evaluations you build will directly inform risk assessments and launch decisions within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. Preparedness is a highly interdisciplinary team, tightly connecting evaluations, internal red teaming, and mitigations for our frontier models. The evaluations you produce will be read and acted upon by Meta leadership during model launches and policy reviews.

View full posting on CareerOneStop → ID: fe198fca3691

Research Engineer, Preparedness - Meta Superintelligence Labs

Meta · Salem, OR

Mid-level Bachelor's

2026-05-15

OR 2026-05-15

Requirements

Research Engineer, Preparedness - Meta Superintelligence Labs Responsibilities:
Build and continuously refine evaluations for multimodal and agentic frontier AI models, including in cybersecurity, chemical security, and biosecurity
Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
Produce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speed
Scope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta's frontier models evolve
Work across research, engineering, policy, and legal teams to align evaluation priorities with launch timelines
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years of experience in machine learning engineering, machine learning research, or a related technical role
Proficiency in Python and experience with ML frameworks
Experience identifying, designing and completing medium to large technical features independently, without guidance
Proven experience in software engineering practices including version control, testing, and code review practices

Preferred

Experience implementing or developing benchmarks for agentic large language models and multimodal models (e.g., vision-language, audio, video, browser agents)
Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, AI safety, or deep learning
Experience working with large-scale distributed systems and data pipelines
Experience in red-teaming AI systems, adversarial machine learning, or abuse prevention systems
Background in biology or chemistry, particularly chemical, biological, radiological, and nuclear (CBRN) risk domains and experience designing evaluations or threat assessments related to dual-use scientific knowledge
Background in cybersecurity, penetration testing, or security research, particularly as it relates to assessing AI-enabled cyber capabilities or designing mitigations for AI-assisted exploitation
Track record of open-source contributions to ML evaluation tools or benchmarks

Responsibilities

Meta is seeking Research Engineers to join the Preparedness team within Meta Superintelligence Labs. The Preparedness team evaluates the increasing capabilities of our AI systems, with a focus on frontier AI capabilities and risks. We ensure that evaluations are in place to mitigate these risks and responsibly handle the development of frontier AI.As a Research Engineer on Preparedness, you will work alongside world-class AI researchers to develop new evaluations grounded in real world threat models, maintain existing evaluations so they remain current and reliable, and produce written artifacts that Meta can trust during high-stakes launches. This is a highly technical role requiring the ability to solve machine learning and engineering with high reliability. The evaluations you build will directly inform risk assessments and launch decisions within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. Preparedness is a highly interdisciplinary team, tightly connecting evaluations, internal red teaming, and mitigations for our frontier models. The evaluations you produce will be read and acted upon by Meta leadership during model launches and policy reviews.

View full posting on CareerOneStop → ID: 55b70c8dce03

Research Scientist/Engineer Senior

University of Washington · Seattle, WA

Senior Doctorate

2026-05-15

WA 2026-05-15

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
*Minimum Qualifications
Doctoral Degree in a related field (e.g., Public Health, Biomedical Sciences, Higher Education Administration, or Business or related field).
Minimum 6 years of progressively responsible experience in research program management, with demonstrated leadership of complex, multi-stakeholder programs.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
Demonstrated experience developing, implementing, and managing NIH-funded research training and educational programs (e.g., T32, P50, or center grants).
Experience leading or co-authoring large, multi-PI grant applications and preparing federal progress reports and compliance documentation.
Demonstrated ability to supervise and develop staff and to lead teams across organizational boundaries.
Strong analytical, communication, and organizational skills; ability to manage complex budgets and multiple concurrent projects with competing priorities.

Preferred

Experience serving as PI or PD on grant submissions as a staff member.
Familiarity with university systems such as Workday and SAGE, and federal funding systems including NIH eRA Commons, xTrain, grants.gov, and myNCBI.
Experience designing and launching new organizational units, program offices, or administrative infrastructure within a research institution.
Proficiency with Microsoft 365 Suite (SharePoint, Word, PowerPoint, Excel, Outlook, Teams) and project management software.
Existing relationships with NIH program officers, national scientific networks, or collaborative research consortia relevant to muscle biology, cardiovascular science, stem cell research, or aging.

Responsibilities

*Bioengineering has an outstanding opportunity for RSE Senior to join their team.
Specifically, the person in this position will execute the following duties:
*Program Research Development & Strategic Planning (50%)
Leads program strategy and funding development across a multi-program portfolio, operating independently to identify and resolve complex problems:
Lead strategic research program development through comprehensive needs assessments, stakeholder engagement, and analysis of scientific, operational, and institutional priorities across ISCRM, CCB, CTMR, BCTP, Wellstone MDSRC, and affiliated programs.
Identify, cultivate, and secure new funding mechanisms; position programs for sustainability and growth through strategic alignment of institutional strengths, partnerships, and emerging scientific opportunities.
Drive long-range planning initiatives to advance research, training, and translational objectives across interdisciplinary faculty, trainee, and staff teams.
Conceptualize, design, and launch new initiatives including pilot funding mechanisms, research cores, educational curriculum, and infrastructure projects-devising novel approaches where established models do not exist.
Lead and co-author complex, multi-investigator grant proposals (T32, P50, center grants, and others); serve as PI/PD on select submissions where appropriate as a senior staff member.
Lead development of proposal budgets, budget justifications, and scientific narratives; represent program to federal funding agencies and collaborators as needed.
Build cross-unit engagement, promote adoption of program initiatives, and establish implementation frameworks spanning departments, colleges, and external partners.
Develop and execute program evaluation plans; analyze outcomes and lead continuous improvement strategies to maximize scientific impact and return on investment.
*Program Management & Administration (20%)
Provides senior-level oversight of program operations, financial management, and reporting infrastructure:
Administer and oversee fiscal operations for multiple concurrent grants and research programs-including budget development, multi-year forecasting, and expenditure monitoring-working in close partnership with post-award grant management teams for CTMR, BCTP, and Wellstone MDSRC Training Core.
Ensure compliance and timely submission of annual progress reports, sponsor deliverables, regulatory documentation, and NIH training program reporting (xTrain, eRA Commons, myNCBI).
Oversee planning and execution of scientific convenings including symposia, training workshops, and visiting scholar events.
Direct communication and dissemination infrastructure including program websites, newsletters, and social media platforms for CTMR and BCTP.
Monitor and track trainee appointments, stipends, tuition, and fellowship expenditures for the BCTP and other training programs.
Manage pilot program mechanisms including application intake, peer review coordination, award processing, and budget oversight for the CTMR.
Lead procurement, service agreements, and reimbursement workflows for program activities.
Maintain transparent reporting systems capturing metrics, outcomes, and program indicators for faculty leadership and external stakeholders.
As programs scale, transition operational responsibilities toward a Program Management Office model, providing oversight and strategic direction for administrative staff.
*Personnel & Team Leadership (15%)
Provides senior leadership and direct supervision for program staff, cultivating a high-performance, collaborative team culture:
Supervise and provide direct leadership for program coordinators and administrative staff, including hiring, onboarding, professional development, and performance management.
Coordinate and review the work of staff to ensure alignment with program objectives, quality standards, and deadlines; identify and resolve performance or capacity issues proactively.
Cultivate a collaborative, accountable culture across interdisciplinary teams of faculty, research staff, and trainees.
Mentor and develop staff capacity, empowering team members to assume increased responsibility and operational ownership over time.
Build strong cross-functional partnerships; manage upward and laterally to support faculty PI leadership and multi-unit initiatives across Bioengineering, ISCRM, CCB, and CTMR.
*Establishment & Launch of a Program Management Office (PMO) within ISCRM (10%)
Leads the conception and institution-wide launch of the first PMO within ISCRM, designing systems and infrastructure for scalable program support:
Lead the design, development, and launch of the PMO, establishing governance structures, policies, workflows, and best practices for project and program management across diverse scientific initiatives.
Evaluate and implement project management platforms and technology solutions to streamline planning, tracking, and reporting for PMO-supported programs.
Allocate personnel and resources strategically to support institute-wide research programs; design and manage workload distribution frameworks.
Provide budget oversight and financial monitoring tools tailored to the PMO's scope of supported programs.
Consolidate decentralized administrative roles into a unified PMO team; design training frameworks and professional growth pathways for PMO staff.
Define PMO scope, service boundaries, and priorities to maximize clarity and impact across the research enterprise.
Continuously iterate and improve project management systems, software, and operational approaches to meet evolving research needs.
*Trainee & Mentorship Program Development (5%)
Designs and delivers career and professional development programming for graduate students and postdoctoral fellows:
Design, implement, and deliver professional and career development training programs for graduate students and postdoctoral fellows across affiliated training grants.
Build and sustain initiatives that strengthen the research training environment, promote trainee well-being, and support diverse career trajectories (academic, industry, policy, and beyond).
Foster collaborations with campus units and external partners to expand programming, resources, and opportunities for trainees.
Programs Supported Include:
Institute for Stem Cell and Regenerative Medicine (ISCRM)
Center for Cardiovascular Biology (CCB)
Center for Translational Muscle Research (CTMR)
Bioengineering Cardiovascular Training Program (BCTP)
Seattle Wellstone Muscular Dystrophy Specialized Research Center (MDSRC) - Training Core
Washington Research Foundation (WRF) Planning Grant - Davis

View full posting on CareerOneStop → ID: a7a42bc06e9b

Research Scientist/Engr Assistant

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-05-15

WA 2026-05-15

Requirements

Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department
Bachelor's Degree in Biochemistry, Chemistry or other related field and less than one year of relevant experience.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, and/or registrations.

Preferred

Strong communication and organization skills and great attention to detail
A willingness to acquire new skills and learn on the job.
At least one year of full-time laboratory experience
Proficient in modern peptide synthesis, purification and analysis
Familiarity with peptide chemistry or synthetic chemistry or medicinal chemistry
Experience with lab instrument use and upkeep of: peptide synthesizers (CEM, Gyros), LC/MS (Agilent), HPLC systems (Agilent).

Responsibilities

*Institute for Protein Design has an outstanding opportunity for Research Scientist/Engr Assistant to join their team
(80%) Work with other Core R&D Lab members to accomplish research goals, including by establishing and nurturing productive relationships with research colleagues, students, administrators, and others at the UW and beyond.
Follow standard operating procedures and working guidelines
Produce synthetic peptides utilizing solid-phase peptide synthesis (SPPS) with standard peptide chemistry techniques
Document protocols run in the wet lab
Review, analyze, and troubleshoot all experimental results
Train IPD researchers on Core-specific workflow
Work directly with Principal Investigators, postdoctoral fellows, graduate students, and laboratory staff in assisting with and conducting experiments
(10%) Maintain databases and inventories.
Maintain inventory for all chemicals, supplies, reagents, and biological samples
Maintain and troubleshoot laboratory equipment
Coordinate hazardous waste disposal with lab management in compliance with EH&S standards
(5%) Assist with managing undergraduate research assistants.
(5%) Present scientific data, attend meetings and team building events.

View full posting on CareerOneStop → ID: aa6b5301c726

Information Technology Analyst Intern - GIS, Power

City of Tacoma WA · Tacoma, WA

Intern High School

2026-05-15

WA 2026-05-15

Requirements

An equivalent combination to:
Graduation from high school or GED
Typically the applicant should be enrolled in college or study programs related to information technology or possess equivalent experience
Knowledge & Skills

Preferred

Familiarity with Microsoft office suite (Excel, Word, PowerPoint, etc)
Experience or interest in database research and data extraction methods.
Ability to collaborate with internal and external stakeholders; aptitude for customer service and project management.
Experience in data management systems such as Tableau, Snowflake, Excel, etc. a plus
Selection Process & Supplemental Information
This recruitment is being managed by Kye Merritt, if you would like to be notified of similar opportunities or stay connected with things going on at Tacoma Public Utilities and the City of Tacoma, connect with me on LinkedIn (https://www.linkedin.com/in/kyemerritt/) !

Responsibilities

Tacoma Public Utilities (TPU) is excited to announce two internship opportunities tailored for college-level students with an interest in Geographic Information Systems!
Join our team to apply your skills, gain hands-on experience, and collaborate with seasoned professionals! Our Utility Technology Services| (UTS) team is driven by a passion for unlocking the value in data, fostering continuous learning, and supporting each other's growth. As an intern within the TPU UTS team, you will receive education and training in the functions of an IT Analyst, with a focus on areas such as GIS under the direct supervision of a GIS professional or the GeoSpatial Technology Manager!
During your internship, you'll have the opportunity to connect with professionals across Tacoma Public Utilities, gaining insights into their roles and the challenges they face. Your responsibilities will include real-world experience on exciting Utility Technology projects. As you work with other GIS IT Analyst, interns will get to participate in simple GIS analysis, GIS system maintenance and GIS application configuration
This internship will not only improve your ability to quickly learn and apply new skills but also boost your personal resilience, instilling confidence in your capability to deliver impactful work. Join us to contribute to the development and support of technical solutions that simplify people's lives through data, playing a key role in shaping the future of data services at Tacoma Public Utilities!
Hours and Terms:
The approved hours for this position are up to 40 hours per week. The number of hours and schedule are negotiable. Telework, or a partial telework schedule, is available.
GIS Interns will generally observe, be trained on ESRI applications, and may perform the following GIS Technology tasks or job duties:
Troubleshoot computer hardware, software, and system difficulties; propose solutions, track and assure resolution through appropriate follow-up methods.
Perform maintenance and systems changes that improve efficiencies, performance, and reliability.
Provide GIS solutions and resolve fewer and less complex systems issues and problems.
Perform systems analysis duties in the design, development, implementation and maintenance of information systems and support in computer hardware and software applications; analyze and maintain existing programs, assist in writing programs for new applications; assist in developing optimum software configurations to achieve operating system goals.
Install, configure, maintain, and troubleshoot problems, isolate solutions to network, applications, operating systems, file servers, network hardware and software; system administration of distributed enterprise management tools; monitor systems disks; prepare and maintain documentation.
Participate in evaluations and testing of system upgrades and quality control procedure development related to area of work.
Participate in GIS Team meetings, GIS Day and related UTS BIDs team activities
Perform other duties as assigned

View full posting on CareerOneStop → ID: 0a8f9d2eabe2

Research Engineer, Preparedness - Meta Superintelligence Labs

Meta · Olympia, WA

Mid-level Bachelor's

2026-05-15

WA 2026-05-15

Requirements

Research Engineer, Preparedness - Meta Superintelligence Labs Responsibilities:
Build and continuously refine evaluations for multimodal and agentic frontier AI models, including in cybersecurity, chemical security, and biosecurity
Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
Produce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speed
Scope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta's frontier models evolve
Work across research, engineering, policy, and legal teams to align evaluation priorities with launch timelines
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years of experience in machine learning engineering, machine learning research, or a related technical role
Proficiency in Python and experience with ML frameworks
Experience identifying, designing and completing medium to large technical features independently, without guidance
Proven experience in software engineering practices including version control, testing, and code review practices

Preferred

Experience implementing or developing benchmarks for agentic large language models and multimodal models (e.g., vision-language, audio, video, browser agents)
Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, AI safety, or deep learning
Experience working with large-scale distributed systems and data pipelines
Experience in red-teaming AI systems, adversarial machine learning, or abuse prevention systems
Background in biology or chemistry, particularly chemical, biological, radiological, and nuclear (CBRN) risk domains and experience designing evaluations or threat assessments related to dual-use scientific knowledge
Background in cybersecurity, penetration testing, or security research, particularly as it relates to assessing AI-enabled cyber capabilities or designing mitigations for AI-assisted exploitation
Track record of open-source contributions to ML evaluation tools or benchmarks

Responsibilities

Meta is seeking Research Engineers to join the Preparedness team within Meta Superintelligence Labs. The Preparedness team evaluates the increasing capabilities of our AI systems, with a focus on frontier AI capabilities and risks. We ensure that evaluations are in place to mitigate these risks and responsibly handle the development of frontier AI.As a Research Engineer on Preparedness, you will work alongside world-class AI researchers to develop new evaluations grounded in real world threat models, maintain existing evaluations so they remain current and reliable, and produce written artifacts that Meta can trust during high-stakes launches. This is a highly technical role requiring the ability to solve machine learning and engineering with high reliability. The evaluations you build will directly inform risk assessments and launch decisions within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. Preparedness is a highly interdisciplinary team, tightly connecting evaluations, internal red teaming, and mitigations for our frontier models. The evaluations you produce will be read and acted upon by Meta leadership during model launches and policy reviews.

View full posting on CareerOneStop → ID: 383bd36904fd

Research Engineer, Preparedness - Meta Superintelligence Labs

Meta · Olympia, WA

Mid-level Bachelor's

2026-05-15

WA 2026-05-15

Requirements

Research Engineer, Preparedness - Meta Superintelligence Labs Responsibilities:
Build and continuously refine evaluations for multimodal and agentic frontier AI models, including in cybersecurity, chemical security, and biosecurity
Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
Produce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speed
Scope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta's frontier models evolve
Work across research, engineering, policy, and legal teams to align evaluation priorities with launch timelines
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years of experience in machine learning engineering, machine learning research, or a related technical role
Proficiency in Python and experience with ML frameworks
Experience identifying, designing and completing medium to large technical features independently, without guidance
Proven experience in software engineering practices including version control, testing, and code review practices

Preferred

Experience implementing or developing benchmarks for agentic large language models and multimodal models (e.g., vision-language, audio, video, browser agents)
Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, AI safety, or deep learning
Experience working with large-scale distributed systems and data pipelines
Experience in red-teaming AI systems, adversarial machine learning, or abuse prevention systems
Background in biology or chemistry, particularly chemical, biological, radiological, and nuclear (CBRN) risk domains and experience designing evaluations or threat assessments related to dual-use scientific knowledge
Background in cybersecurity, penetration testing, or security research, particularly as it relates to assessing AI-enabled cyber capabilities or designing mitigations for AI-assisted exploitation
Track record of open-source contributions to ML evaluation tools or benchmarks

Responsibilities

Meta is seeking Research Engineers to join the Preparedness team within Meta Superintelligence Labs. The Preparedness team evaluates the increasing capabilities of our AI systems, with a focus on frontier AI capabilities and risks. We ensure that evaluations are in place to mitigate these risks and responsibly handle the development of frontier AI.As a Research Engineer on Preparedness, you will work alongside world-class AI researchers to develop new evaluations grounded in real world threat models, maintain existing evaluations so they remain current and reliable, and produce written artifacts that Meta can trust during high-stakes launches. This is a highly technical role requiring the ability to solve machine learning and engineering with high reliability. The evaluations you build will directly inform risk assessments and launch decisions within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. Preparedness is a highly interdisciplinary team, tightly connecting evaluations, internal red teaming, and mitigations for our frontier models. The evaluations you produce will be read and acted upon by Meta leadership during model launches and policy reviews.

View full posting on CareerOneStop → ID: c263ae6ce4a5

Research Engineer, Preparedness - Meta Superintelligence Labs

Meta · Helena, MT

Mid-level

2026-05-15

MT 2026-05-15

View full posting on CareerOneStop → ID: 95588b2709f5

Biomarkers Senior Principal Research Scientist

Vertex Pharmaceuticals Incorporated · Seattle, WA

Senior Doctorate

2026-05-14

WA 2026-05-14

Education

Ph.D. (or equivalent degree) in Biochemistry, Molecular Biology, Molecular Pharmacology or related field and 6-8 years of experience, o
Master's Degree and 9+ years of relevant employment experience, o
Bachelor's Degree and 11+ years of relevant employment experience

Responsibilities

*General Summary:
The Biomarkers Senior Principal Research Scientist is an independent leader with advanced scientific knowledge and expertise in biomarker development who develops and implements the clinical biomarker strategy for one or more programs and implements the biomarker plan during clinical development with minimal guidance. The incumbent is an expert in the field of assay development and validation and works with a team and several external CROs to ensure fit-for-purpose validation of biomarker assays. The incumbent is a specialized technical expert in specific areas in biomarker development (e.g. CDx, immunoassays, genomic assays, flow assays, etc.) who can lead others to solve complex problems and is able to communicate difficult concepts and persuade others.
Develops and aligns the biomarker strategy cross functionally.
Provides expert oversight of the development, validation and implementation of fit-for-purpose biomarker assays for clinical phase program
Serves as key point of contact for internal and external stakeholders regarding assay design requirements for e.g. patient selection, target engagement, pharmacodynamic and mechanism of action biomarkers.
In a matrixed environment, works cross functionally, both internally and externally, to develop and validate high quality assays suitable for a range of matrix and tissue types.
Responsible for assay activities performed at external vendors and provide recommendations regarding requirements for developing and utilizing assays in GCLP settings.
Works cross-functionally to ensure that assays are developed and validated according to regulatory guidance and are ready in time for clinical use, along with providing supportive written documentation of assay characteristics and validation.
Establishes strong working relationships with key diagnostics vendors and CROs that will employ assays both developed internally at Vertex and at an external vendor.
Represents biomarker at key cross-functional teams and is responsible for all key biomarker deliverables for the program(s).
Presents and communicates biomarker data and strategy at cross functional team meetings and to senior management.
Represents Vertex at external conference, meetings, and discussions to present topics on biomarkers development and validation.
Contributes to specific work streams and capabilities as specialized technical expert and develops new expertise within the group to build the biomarker capability within the team.
*Knowledge and Skills:
Has specialized depth and/or breadth of knowledge and skills in Biomarker development and validation
Impacts the achievement of internal/external program objectives.
Communicates difficult concepts and is able to persuade others.
Ability to manage multiple tasks internally and externally and drive towards key deliverables within rigorous timelines
Excellent interpersonal and communication skills, able to drive global collaborations across a matrixed organization.
Innovative and able to think creatively with a strong drive toward decision making.

View full posting on CareerOneStop → ID: f2d3b1cfa987

Research Scientist, Amazon Music - DISCO

Amazon · Seattle, WA

Mid-level Doctorate

2026-05-14

WA 2026-05-14

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows

Preferred

Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
Experience in machine learning, statistics, and deep learning
Experience working with data mining on large datasets
Experience working with cross-functional teams

Responsibilities

Develop Causal Models
Design, build, and validate causal models to evaluate the impact of marketing campaigns and initiatives. Leverage advanced statistical methods to identify and quantify causal relationships.
Conduct Randomized Controlled Trials
Design and implement randomized controlled trials (RCTs) to rigorously test the effectiveness of marketing strategies. Ensure robust experimental design and proper execution to derive credible insights.
Statistical Analysis and Inference
Perform complex statistical analyses to interpret data from experiments and observational studies. Use statistical software and programming languages to analyze large datasets and extract meaningful patterns.
Data-Driven Decision Making
Collaborate with marketing teams to provide data-driven recommendations that enhance campaign performance and ROI. Present findings and insights to stakeholders in a clear and actionable manner.
Collaborative Problem Solving
Work closely with cross-functional teams, including marketing, product, and engineering, to identify key business questions and develop analytical solutions. Foster a culture of data-informed decision-making across the organization.
Stay Current with Industry Trends
Keep abreast of the latest developments in data science, causal inference, and marketing analytics. Apply new methodologies and technologies to improve the accuracy and efficiency of marketing measurement.
Documentation and Reporting
Maintain comprehensive documentation of models, experiments, and analytical processes. Prepare reports and presentations that effectively communicate complex analyses to non-technical audiences.

View full posting on CareerOneStop → ID: 040bb5317677

Research Scientist/Engr 1

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-05-14

WA 2026-05-14

Requirements

To be considered for this opportunity you
application must demonstrate you meet both the minimum qualifications and additional
qualifications listed below. Equivalent education and/or experience may substitute fo
minimum qualifications except when there are legal requirements, such as a license,
certification, and/or registration."
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
Bachelor's Degree in Biochemistry, Biology, or related field and one year of relevant Biochemistry experience.
substantial molecular biology and/or protein biochemistry wet-lab experience
demonstrated ability for high-quality, reproducible experimental work
experience with the execution and optimization of higher throughput molecular biology or protein workflows
experience with automated or semi-automated systems for high-throughput data generation
eagerness and ability to learn and engage in new topics and scientific domains
self-motivated and self-directed
organizational aptitude to work on multiple concurrent projects.
computational biology/programming experience

Responsibilities

*UW Department of Biochemistry IPD has an outstanding opportunity for Research Scientist 1 (RS1) to join their team.
Scientific platform development and project execution (65%)
end-to-end implementation of high-throughput workflows to generate protein functional data
contribution to the development of robust and high-throughput workflows to assay protein function
execution of standard molecular biology and protein protocols
writing and troubleshooting of protocols
Data curation and analysis (15%)
analysis of experimental data in a standardized format
deposition of data in centralized data repository
gain insights with data to inform future experiments
execution of machine learning scripts
support the continued development of our internal results database
Coordination and communication (10%)
engagement with IPD colleagues and external partners to discuss project plans and results
contribute to publications
train IPD colleagues on experimental workflows and equipment
Wet lab organization and maintenance (5%)
work with IPD colleagues to ensure lab is well-organized and that instruments are maintained for proper performance

View full posting on CareerOneStop → ID: 2a1facb7824e

Senior Advanced AI Research Engineer

Accenture · Redmond, WA

Senior Doctorate

2026-05-14

WA 2026-05-14

We Are: We are at the forefront of a new era in enterprise AI - one defined not by model capability alone, but by the infrastructure, memory systems, and routing intelligence required to make autonomous AI agents trustworthy and commercially viable at scale. Our Data & AI practice brings together

View full posting on CareerOneStop → ID: 69404008cc84

Senior Advanced AI Research Engineer

Accenture · Kirkland, WA

Senior Doctorate

2026-05-14

WA 2026-05-14

We Are: We are at the forefront of a new era in enterprise AI - one defined not by model capability alone, but by the infrastructure, memory systems, and routing intelligence required to make autonomous AI agents trustworthy and commercially viable at scale. Our Data & AI practice brings together

View full posting on CareerOneStop → ID: 8f1238f8688f

Senior Advanced AI Research Engineer

Accenture · Seattle, WA

Senior Doctorate

2026-05-14

WA 2026-05-14

We Are: We are at the forefront of a new era in enterprise AI - one defined not by model capability alone, but by the infrastructure, memory systems, and routing intelligence required to make autonomous AI agents trustworthy and commercially viable at scale. Our Data & AI practice brings together

View full posting on CareerOneStop → ID: c3794bd53558

Senior Applied Research Scientist

Advanced Mircro Devices, Inc. · Bellevue, WA

Senior Doctorate

2026-05-14

WA 2026-05-14

Preferred

Experience in developing and debugging in Python.
Experience in ML Framework such as PyTorch, JAX or TensorFlow
Experience with distributed training.
Expertise on LLM/LMM pretraining, finetuning, and/or RL.
Expertise on transformer architecture.
Strong publication record in top tier conferences and journals.
*ACADEMIC CREDENTIALS:
A PhD degree or equivalent in machine learning, computer science, artificial intelligence, or a related field.

Responsibilities

We are looking for a Senior Applied Research Scientist who is experienced with training large language models and/or large multimodal models. In this role, you will explore novel LLM/LMM architectures and large-scale training techniques to advance the state-of-the-arts. You will be part of a world-class research team working on pre-training, fine-tuning, RL, and aligning large language and multimodal models, in addition to keeping up-to-date to the latest progress and trends in LLM/LMM and foundation models.
The ideal candidate should be
Train, finetune, and RL for LLMs/LMMs.
Improve on the state-of-the-art LLMs/LMMs..
Accelerate the training and inference speed of LLMs/LMMs.
Research novel ML techniques and model architectures.
Influence the direction of AMD AI platform.
Publish your work at top-tier venues.

View full posting on CareerOneStop → ID: ad63cb0323d0

Software Research Engineer

Advanced Mircro Devices, Inc. · Bellevue, WA

Mid-level

2026-05-14

WA 2026-05-14

Preferred

Expert knowledge and hands-on experience in Python, C, C++
Solid understanding of AI/machine learning algorithms and technology

Responsibilities

AMD is looking for a s
software enginee
to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD's abilities to deliver the highest quality,
industry-leading
technologies to market.
The ideal candidate
problem-solving
a keen eye for S
oftware engineering research and advanced development
diligent and passionate about
. A successful candidate will need to employ strong knowledge in AI/ML technologies, leadership skills in technical areas, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators.
Develop and drive execution of comprehensive hardware/software/modeling co-designfor sophisticated new technology projects
Contribute to a high-functioning research and advanced development team
Collaborate closely with multiple teams to deliver key research innovations and the technology de-risk to support them
Help contribute to the design and implementation of future architecture for a highly scalable, durable, and innovative system
Work closely with engineering teams drive research resultsinto products

View full posting on CareerOneStop → ID: 8ff39677e385

Senior Advanced AI Research Engineer

Accenture · Beaverton, OR

Senior

2026-05-14

WA 2026-05-14

View full posting on CareerOneStop → ID: 5c3f7343641a

Research Scientist I

Seattle Children's · Seattle, WA

Entry-level Bachelor's

2026-05-13

WA 2026-05-13

Preferred

Research experience in biochemistry, molecular biology, and tissue culture techniques is highly preferred.

Education

Bachelor's degree in an engineering or scientific discipline.
Prior experience in a laboratory setting; may include relevant educational programs.
*Required Credentials

View full posting on CareerOneStop → ID: 35df18c964c5

Research Scientist Intern, Optical System Design (PhD)

Meta · Redmond, WA

Intern Doctorate

2026-05-13

WA 2026-05-13

Requirements

Research Scientist Intern, Optical System Design (PhD) Responsibilities:
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development
Develop next generation AR/VR displays with an emphasis on advanced simulations and prototyping to prove new concepts and understand the perceptual impact of those concepts
Collaborate with larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices
Explore the application of at least one of the following: geometrical optics, diffraction optics, polarization optics, illumination, optical system design
This position will have an emphasis of advanced simulations and prototyping to prove new concepts and the perceptual impact of those concepts
Currently has or is in the process of obtaining a Ph.D. degree in Optical Science, Optical Engineering, Opto-Mechanics, Electrical Engineering, Physics, Computational Imaging or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in at least one of the following areas of optical research: geometry optics, aberration theory, optical system prototyping
Experience with lens design in optical design programs such as Zemax OpticStudio, Code V or simila
Experience with scientific programming languages (e.g., MATLAB, Python, and Mathematica)
Intent to return to degree program after the completion of the internship/co-op

Preferred

Experience in freeform optics
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as JOSA, SPIE, OSA, IEEE, CLEO, or simila
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience in system-level prototyping work, including hands-on prototyping of bench-top optical components
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
Experience working and communicating cross-functionally in a team environment
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Responsibilities

Meta Reality Labs brings together a team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

View full posting on CareerOneStop → ID: 2ad877d1526f

CHIPS Research Scientist

National Institute of Standards and Technology · Boulder, CO

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 0c8272c4da7e

Research Scientist - Advanced Programs and Exploitation

Lockheed Martin · Boulder, CO

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 3fd089bd9837

Information Technology Analyst (Open and Promotional)

San Mateo County, CA · California

Mid-level

2026-05-13

CA 2026-05-13

View full posting on CareerOneStop → ID: ebc465b7c59f

Director, Research Engineering & Operations

Texas A&M University System · Bryan, TX

Director

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: df443d163e76

Research Engineering Scientist Associate I - Austin, TX

UNIVERSITY OF TEXAS AT ARLINGTON · Austin, TX

Entry-level

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: 5208e86bce85

Research Scientist 1

Baylor Scott & White Health · Plano, TX

Mid-level

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: 1beba26678a2

INFORMATION TECHNOLOGY SPECIALIST (CUSTOMER SUPPORT)

Department of Defense Education Activity · Fort Benning, GA

Mid-level

2026-05-13

GA 2026-05-13

View full posting on CareerOneStop → ID: 2cf46c79fdf2

Research Scientist (ETS) | Temporary

Emory Healthcare/Emory University · Atlanta, GA

Mid-level

2026-05-13

GA 2026-05-13

View full posting on CareerOneStop → ID: db4dec3cdd32

Research Scientist (ETS) | Temporary

Emory Healthcare/Emory University · Atlanta, GA

Mid-level

2026-05-13

GA 2026-05-13

View full posting on CareerOneStop → ID: 0a7f7bf2f6fe

Senior Research Engineer, Generative Prototyping

Adobe Inc. · Seattle, WA

Senior

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: e545a4ebc002

Adjunct Instructor, Electrical and Computer Engineering

Gonzaga University HR · Spokane, WA

Mid-level Master's

2026-05-12

WA 2026-05-12

Requirements

Master's degree in electrical or computer engineering (or a Bachelor's degree with professional experience equivalent to a Master's degree)
Demonstrated ability/potential to provide quality educational experiences to a diverse student population.
Master's Degree
Physical & On-Campus R

Responsibilities

The School of Engineering and Applied Science at Gonzaga University in Spokane, Washington, invites applications for its Adjunct Faculty Pool within the Electrical and Computer Engineering Department. We welcome applicants with backgrounds in Electrical and Computer Engineering who can contribute to our vibrant and growing student-centered program. Successful candidates will have the enthusiasm, classroom/lab presence, and skills to engage students and should be committed to pursuing excellence in teaching and promoting an inclusive learning environment. Candidates will be fully responsible for course or lab planning with existing course materials, delivering class sessions, collecting and grading assignments or lab reports, submitting grades, and being available to students for office hours for one hour per week per course (or more if needed). Gonzaga University is committed to building an intellectually vibrant and culturally inclusive community for our students, faculty, and staff.
Teaching assignments include two sessions of EENG 303L Electronics Design I Lab in Fall 2026, with the high possibility of continuing in future fall semesters. Depending on departmental priorities and the candidate's interests, additional assignments may include teaching EENG 201 Circuit Analysis I (lecture and/or lab) or other electrical engineering courses in Spring 2027 and subsequent terms.
This is a pool for the department to draw on as necessary. Qualified applicants will be contacted when positions are available.
For more information on our mission, please visit: https://www.gonzaga.edu/about/our-mission-jesuit-values/mission-statement{rel="noopener noreferrer" target="_blank"}
Prepare, plan, and teach assigned labs or courses
Hold office hours (amount determined in consultation with Department Chair)
Create and grade assignments or lab reports, including submitting grades according to established deadlines

View full posting on CareerOneStop → ID: ddc0b13bac3c

Research Scientist, Evaluations, Security and Privacy, DeepMind

Google · Mountain View, CA

Mid-level

2026-05-12

CA 2026-05-12

View full posting on CareerOneStop → ID: fd81d0ff79c6

Research Scientist, Evaluations, Security and Privacy, DeepMind

Google · San Francisco, CA

Mid-level

2026-05-12

CA 2026-05-12

View full posting on CareerOneStop → ID: 1e2ba9b64390

Senior Research Scientist

MongoDB · Palo Alto, CA

Senior

2026-05-12

CA 2026-05-12

View full posting on CareerOneStop → ID: b3f360e234d6

Research Scientist, Neutral Atoms, Quantum AI

Google · Boulder, CO

Mid-level

2026-05-12

CO 2026-05-12

View full posting on CareerOneStop → ID: 2668befdd004

Temporary Research Scientist in Tutor Professional Learning

University of Colorado · Boulder, CO

Mid-level

2026-05-12

CO 2026-05-12

View full posting on CareerOneStop → ID: 8e96d11dd620

Research Scientist - Experimental Therapeutics

MD Anderson Cancer Center · Houston, TX

Mid-level

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: 5607930c750d

Research Scientist

A.T. Still University · Saint Louis, MO

Mid-level

2026-05-12

MO 2026-05-12

View full posting on CareerOneStop → ID: 70e339565540

Senior Principal Research Scientist

AbbVie · North Chicago, IL

Senior

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: 237b4193c3d6

Supervisory Information Technology Specialist (Policy and Planning)

U.S. Military Entrance Processing Command · North Chicago, IL

Mid-level

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: ff9001f85f9c

Information Technology Analyst

Kimley-Horn · Nashville, TN

Mid-level

2026-05-12

TN 2026-05-12

View full posting on CareerOneStop → ID: c432abe3d4ae

Cyber Vulnerability Research Engineer

Maximus · San Antonio, TX

Mid-level

2026-05-11

TX 2026-05-11

View full posting on CareerOneStop → ID: 1aaeba614f0c

Senior Cybersecurity Research Scientist

Maximus · San Antonio, TX

Senior

2026-05-11

TX 2026-05-11

View full posting on CareerOneStop → ID: ccf56d7708b5

Research Engineer, Knowledge Team

Anthropic PBC · Seattle, WA

Mid-level Bachelor's

2026-05-10

WA 2026-05-10

## Responsibilities: - Designing and implementing from scratch new information architecture strategies - Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures - Building "hard" knowledge base eval sets to help identif

View full posting on CareerOneStop → ID: 15b74ba50d84

Intern - Generative AI Research Engineer

COTIVITI, INC. · South Jordan, UT

Intern

2026-05-10

UT 2026-05-10

View full posting on CareerOneStop → ID: f7f39bb71cce

Quantum Research Scientist - Remote - 790

Quantinuum · Broomfield, CO

Mid-level

2026-05-10

CO 2026-05-10

View full posting on CareerOneStop → ID: 48d664fd8200

Research Scientist II

BLOODCENTER OF WISCONSIN, INC · Milwaukee, WI

Mid-level

2026-05-10

WI 2026-05-10

View full posting on CareerOneStop → ID: 5b23c0017650

Research Scientist, Quantum Error Correction, Quantum AI

Google · Goleta, CA

Mid-level

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: 52a86c93f3e9

Research Scientist, Quantum Error Correction, Quantum AI

Google · Los Angeles, CA

Mid-level

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: fd28c8b15d90

Research Engineer III

Texas A&M University System · Bryan, TX

Mid-level

2026-05-09

TX 2026-05-09

View full posting on CareerOneStop → ID: cec64306c990

Junior Research Scientist - Research Scientist 1

State of Minnesota · Saint Paul, MN

Entry-level

2026-05-09

MN 2026-05-09

View full posting on CareerOneStop → ID: 4c067f072b18

Computer Scientist/AI

Argonne National Laboratory · Lemont, IL

Mid-level

2026-05-09

IL 2026-05-09

View full posting on CareerOneStop → ID: cc2c30febdf0

Information Technology Specialist

George C. Marshall Space Flight Center · Huntsville, AL

Mid-level

2026-05-09

AL 2026-05-09

View full posting on CareerOneStop → ID: 60b5f5b51f47

Research Scientist Engineer 4: Atmospheric Scientist

University of Washington · Seattle, WA

Mid-level Master's

2026-05-08

WA 2026-05-08

Requirements

Master's degree in Atmospheric Sciences, Oceanography, Chemistry, Environmental Science, or related field
Four years of relevant experience in atmospheric chemistry research
Equivalent education and/or experience can be substituted for minimum qualifications

Preferred

Familiarity with aerosol instrumentation.
Experience working at sea
A proven track record of publishing research in peer-reviewed journals.
Demonstrated ability to make progress on challenging research questions with only modest external direction.
Demonstrated ability and interest to learn and/or apply programming languages, such as IGOR, Python, MATLAB, and LabVIEW.
Strong oral and written communication skills, and the ability to communicate complex ideas to colleagues clearly.
Ability to work independently and as part of a team, interacting cooperatively with people from diverse backgrounds and academic levels.

Responsibilities

The incumbent will identify research opportunities, design research projects, write proposals, analyze data, write and publish manuscripts, present research results at scientific meetings and for agency administrators. 50%
The incumbent will plan, schedule, coordinate and participate in instrument development and measurement campaigns. 40%
The incumbent will supervise research technicians, manage budgets, and participate in outreach activities. 10%

View full posting on CareerOneStop → ID: 1ec79240c998

Security Research Engineer

Cisco · Olympia, WA

Mid-level Bachelor's

2026-05-08

WA 2026-05-08

Requirements

3+ years of experience in vulnerability research or a closely related areasuch asexploitor mitigation developmentonLinuxSystems
3+ years' experience with C/C++, and a scripting language (e.g., Python), and assembly (e.g., x86/x64, ARM, etc.)

Preferred

Bachelor's degree or equivalent in Computer Science, Electrical Engineering, Cyber Security, or other tech-related degree
Experience withLinux internals
Experience with binary auditing and reverse engineering, and with related tools such as IDA Pro, Binary Ninja,Ghidra, etc. and with plugin development.
Experience with common vulnerabilities and methods of exploitation, such as memory corruption, web application exploitation, file format vulnerabilities, protocol-based weaknesses, etc.
Knowledge of common file formats,network protocol structures, and enterprise networkingarchitecture
Ability to work independently with minimum supervision and to tackleadditionaltasks as the need arises.
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
*Message to applicants applying to work in the U.S. and/or Canada:

View full posting on CareerOneStop → ID: bc513e14cde3

Security Research Engineer

Cisco · Portland, OR

Mid-level Bachelor's

2026-05-08

WA 2026-05-08

Requirements

3+ years of experience in vulnerability research or a closely related areasuch asexploitor mitigation developmentonLinuxSystems
3+ years' experience with C/C++, and a scripting language (e.g., Python), and assembly (e.g., x86/x64, ARM, etc.)

Preferred

Bachelor's degree or equivalent in Computer Science, Electrical Engineering, Cyber Security, or other tech-related degree
Experience withLinux internals
Experience with binary auditing and reverse engineering, and with related tools such as IDA Pro, Binary Ninja,Ghidra, etc. and with plugin development.
Experience with common vulnerabilities and methods of exploitation, such as memory corruption, web application exploitation, file format vulnerabilities, protocol-based weaknesses, etc.
Knowledge of common file formats,network protocol structures, and enterprise networkingarchitecture
Ability to work independently with minimum supervision and to tackleadditionaltasks as the need arises.
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
*Message to applicants applying to work in the U.S. and/or Canada:

View full posting on CareerOneStop → ID: 6156c0a52d86

Security Research Engineer

Cisco · Boise, ID

Mid-level

2026-05-08

ID 2026-05-08

View full posting on CareerOneStop → ID: 59e723a262b1

Security Research Engineer

Cisco · Helena, MT

Mid-level

2026-05-08

MT 2026-05-08

View full posting on CareerOneStop → ID: bc8af971197f

Security Research Engineer

Cisco · Cheyenne, WY

Mid-level

2026-05-08

WY 2026-05-08

View full posting on CareerOneStop → ID: 5093a5cddd66

Security Research Engineer

Cisco · Salt Lake City, UT

Mid-level

2026-05-08

UT 2026-05-08

View full posting on CareerOneStop → ID: f54e2e747c20

Security Research Engineer

Cisco · Reno, NV

Mid-level

2026-05-08

NV 2026-05-08

View full posting on CareerOneStop → ID: c53ee9202c71

Security Research Engineer

Cisco · Bismarck, ND

Mid-level

2026-05-08

ND 2026-05-08

View full posting on CareerOneStop → ID: 80d805f546bf

Security Research Engineer

Cisco · Pierre, SD

Mid-level

2026-05-08

SD 2026-05-08

View full posting on CareerOneStop → ID: 794d5f7fed29

Security Research Engineer

Cisco · Phoenix, AZ

Mid-level

2026-05-08

AZ 2026-05-08

View full posting on CareerOneStop → ID: e44161b4f30a

Security Research Engineer

Cisco · Santa Fe, NM

Mid-level

2026-05-08

NM 2026-05-08

View full posting on CareerOneStop → ID: ba4f74b1c219

Forensic Computer Analyst

U.S. Postal Service · Denver, CO

Mid-level

2026-05-08

CO 2026-05-08

View full posting on CareerOneStop → ID: b1d8a7cb7e9c

Security Research Engineer

Cisco · Denver, CO

Mid-level

2026-05-08

CO 2026-05-08

View full posting on CareerOneStop → ID: 8f160e2852ed

Senior Research Scientist

University of Colorado · Aurora, CO

Senior

2026-05-08

CO 2026-05-08

View full posting on CareerOneStop → ID: 831032105514

Security Research Engineer

Cisco · Lincoln, NE

Mid-level

2026-05-08

NE 2026-05-08

View full posting on CareerOneStop → ID: 1c3aba2711fe

Security Research Engineer

Cisco · Topeka, KS

Mid-level

2026-05-08

KS 2026-05-08

View full posting on CareerOneStop → ID: f9b5f45d857b

Security Research Engineer

Cisco · Oklahoma City, OK

Mid-level

2026-05-08

OK 2026-05-08

View full posting on CareerOneStop → ID: 9d646137cb28

Security Research Engineer

Cisco · Minneapolis, MN

Mid-level

2026-05-08

MN 2026-05-08

View full posting on CareerOneStop → ID: 586a9c2296eb

Security Research Engineer

Cisco · West Des Moines, IA

Mid-level

2026-05-08

IA 2026-05-08

View full posting on CareerOneStop → ID: 4957900e73ed

Security Research Engineer

Cisco · Clayton, MO

Mid-level

2026-05-08

MO 2026-05-08

View full posting on CareerOneStop → ID: eef9958a5375

Security Research Engineer

Cisco · Little Rock, AR

Mid-level

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: b440eac2e31f

Security Research Engineer

Cisco · Baton Rouge, LA

Mid-level

2026-05-08

LA 2026-05-08

View full posting on CareerOneStop → ID: a0a7576ab2a1

Security Research Engineer

Cisco · Appleton, WI

Mid-level

2026-05-08

WI 2026-05-08

View full posting on CareerOneStop → ID: 0ac170f712f0

Principal Research Scientist I

AbbVie · North Chicago, IL

Senior

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: d6531431597c

Security Research Engineer

Cisco · Chicago, IL

Mid-level

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: 349486661cf4

Security Research Engineer

Cisco · Jackson, MS

Mid-level

2026-05-08

MS 2026-05-08

View full posting on CareerOneStop → ID: 89bb2736d61c

Security Research Engineer

Cisco · Birmingham, AL

Mid-level

2026-05-08

AL 2026-05-08

View full posting on CareerOneStop → ID: 0302b2040af9

Security Research Engineer

Cisco · Nashville, TN

Mid-level

2026-05-08

TN 2026-05-08

View full posting on CareerOneStop → ID: ef51815a6748

Security Research Engineer

Cisco · Frankfort, KY

Mid-level

2026-05-08

KY 2026-05-08

View full posting on CareerOneStop → ID: 6dfdd08d3fa6

Research Scientist 2, Genetics & Solid Tumors Laboratory

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

Bachelor's degree in genetics, molecular biology, cell biology, biochemistry, or other life sciences fields AND
Two years of genetics or molecular biology laboratory experience.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Hands-on experience with automated liquid handling platforms (Hamilton, Tecan, or similar)
NGS library preparation experience (eg Illumina platforms), ideally in a high-throughput or clinical environment

Preferred

Comprehensive understanding of molecular biology concepts and methods.
Excellent written communication and documentation skills.
Experience in a high throughput laboratory environment.
Experience automating biological sample prep.
Knowledge in programming languages.
Understanding of the principles of cancer genetics and clinical molecular diagnostics.

Responsibilities

*Who we're looking for:
The UW Medicine - Department of Laboratory Medicine & Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a Research Scientist 2 with the Genetics & Solid Tumors Division at the University of Washington Medical Center - Montlake.
The Genetics Division is a leader in precision diagnostics, offering DNA-based testing for a diverse array of disorders. As a nationally recognized center, we excel in molecular oncology, rare disease diagnosis, prenatal genetics, and cutting-edge genetic testing methods. Our efforts are dedicated to advancing DNA sequencing technologies, which are crucial for identifying disease-predisposing mutations, including those related to cancer, and for deepening our understanding of cancer biology.
Our division is currently integrating with several other UW diagnostic labs while increasing automation, and, within the next few years, will be moving to a centralized lab in Renton. The Research Scientist 2 will support research projects within our team.
*Work schedule:
Monday - Friday
*What you'll contribute:
_Lab Operations & Automation (60%)_
Develop, adapt, and maintain automated workflows for NGS sample prep and related molecular biology processes.
Manage sample intake and specimen accessioning of multiple clinical research projects.
Perform DNA isolation, NGS library prep, and sequencing using automated and manual methods as needed.
Operate laboratory instrumentation, perform routine maintenance, and coordinate vendor-supported repairs.
Integrate QC procedures at key stages of the workflow and troubleshoot technical issues to ensure consistent, high-quality results.
_Project Management (20%)_
Communicate status updates, performance metrics, and results to project leadership and collaborators.
Maintain organized, compliant lab records for numerous clinical and research projects.
Serve as a technical contact for ongoing studies to align workflows with projects goals and timelines.
_Collaboration & Training (20%)_
Collaborate with groups of technical staff to ensure automated workflows integrate seamlessly into production.
Train and mentor laboratory staff in automation protocols, troubleshooting, and best practices.
Participate in cross-functional meetings, contribute feedback, and support continuous process initiatives.

View full posting on CareerOneStop → ID: 33be870c8e19

Research Scientist for Gemini UI Control, DeepMind

Google · Kirkland, WA

Mid-level Doctorate

2026-05-07

WA 2026-05-07

Requirements

PhD degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience designing, training, and evaluating machine learning models.
Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).
Experience collaborating with cross-functional teams and communicating project updates to stakeholders.
Experience in building, scaling, and training/fine-tuning AI models and systems.
Experience with reinforcement learning.

Preferred

Ability to adapt, be proactive, and take ownership.
Ability to grow in a fast growing, fast paced environment delivering accuracy while managing deadlines where adaptability is imperative.

Responsibilities

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Make core contributions to Gemini that advance what digital agents can do and are deployable into production.
Identify model areas of improvement.
Train and evaluate UI Control agents across various digital environments.
Focus on multi-step reinforcement learning in multimodal, digital environments.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 83dee1285bba

Computer Scientist - Telemetry Processing

JT4 · Hill AFB, UT

Mid-level

2026-05-07

UT 2026-05-07

View full posting on CareerOneStop → ID: 8f7c129e4142

Research Scientists (PhD)

University of Utah · Salt Lake City, UT

Mid-level

2026-05-07

UT 2026-05-07

View full posting on CareerOneStop → ID: f67af6b65a0f

Junior Research Scientist

Actalent · Morton Grove, IL

Entry-level

2026-05-07

IL 2026-05-07

View full posting on CareerOneStop → ID: b77ab9aacd02

Associate Director, Safety Surveillance Research Scientist

Pfizer · Bothell, WA

Director Doctorate

2026-05-06

WA 2026-05-06

Requirements

BA/BS with 6+ years of experience or MBA/MS with 5+ years of experience or PhD/JD with 1+ year of experience or MD/DVM with any years of experience
Proficiency in writing, particularly for epidemiological sections of scientific documents, including research summaries, publications, grant proposals, and risk management plans
Strong computational skills and experience in the design, specification, and delivery of statistical computing environments and platforms/solutions
Ability to drive large-scale changes within complex matrix organizations
Experience in conducting comprehensive literature reviews and providing critical epidemiological insights
Expertise in designing and implementing innovative database studies

Preferred

A Master's degree (MS/MBA) or a Doctoral degree (PhD/PharmD/JD) or a MD/DVM degree
Experience in managing epidemiological work with external vendors
Proven track record in engaging with regulatory agencies on safety epidemiologic issues
Strong project management skills to lead complex projects and achieve objectives
Ability to navigate internal and external business challenges and recommend best practices for continuous improvement
Innovative mindset to foster a culture of excellence and drive advancements in epidemiology
Strong leadership skills to guide teams and manage intricate project environments
Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
*ADDITIONAL DETAILS:
Last date to apply is May 19, 2026
Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.
The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
*EEO & Employment Eligibility

Responsibilities

Conduct comprehensive literature reviews and provide critical epidemiological insights to development and product teams.
Assess epidemiological data and literature to support disease contextualization and regulatory submissions.
Oversee epidemiological work with external vendors for literature reviews and regulatory deliverables.
Design and implement innovative database studies to quantify risks and assess the effectiveness of risk mitigation activities for Pfizer products.
Conduct post-approval safety studies and develop strategies to address safety signals, including real-world data analyses and critical reviews of publications.
Engage with regulatory agencies on safety epidemiologic issues, offer consultation on pre-approval research strategies, and participate in Risk Management Committee activities related to post-approval epidemiology strategies.

View full posting on CareerOneStop → ID: 3a16aaaef010

Display Research Scientist

Meta · Redmond, WA

Mid-level Doctorate

2026-05-06

WA 2026-05-06

Requirements

3+ years of experience in one or more of the following disciplines: optical design and simulation, optical fabrication, display technologies, computational imaging
Experience with AR display systems and understanding of their optical requirements
Demonstrated experience to identify core research problems and drive them to solution with initiative

Preferred

PhD in optics, photonics, physics, materials science, electrical engineering, or a related field or equivalent practical experiences
6+ years of experience in one or more of the following disciplines: optical design and simulation, optical fabrication, display technologies, computational imaging
Experience with holographic optical elements (HOE), volume Bragg gratings (VBG), or photopolymer materials
Hands-on experiences on designing and executing optical experiments, working in a lab environment as a core part of the job
Experience designing/building near-eye display prototypes (AR/VR)
Solid understanding of diffractive optics and holography
Computational simulation experience with light including: ray-tracing, Fourier optics, electromagnetic simulations (RCWA, FDTD), computer graphics, etc
Experience building complex experimental systems with lasers, interferometry or diffractive imaging systems
Experience with various spatial light modulators and display panel technologies
Track record of novel research (publications, prototypes, or demonstrated technical impact)
Proficiency with AI tools for scientific research, including computing, design and simulation, experiments, and data analysis
Experience with advanced nano-photonics technologies including design and fabrication

Responsibilities

Reality Labs focuses on delivering Meta's roadmap through creating advanced AI enabled AR devices. Come work alongside industry-leading scientists and engineers to create the technology that makes AR devices pervasive and universal. Our scientists have experience designing, modeling, and prototyping advanced display systems. This role is focused on long term research typically aiming for a 5+ year horizon for potential intercept.You will work closely with a multidisciplinary team of optical scientists, simulation engineers, and display architects to advance the state of the art in AI enabled AR devices.
Achieve breakthroughs in future AI enabled AR devices system architecture by identifying and solving fundamental problems to enable immersive AR experiences
Research and develop advanced optical elements for future AR display systems, including designing, modeling, and fabricating novel optical components that serve as building blocks for AR display systems
Collaborate cross-functionally with optical system designers, simulation engineers, and other research teams to co-develop new display architectures and integrate device-level innovations into system-level solutions
Explore emerging optical technologies and evaluate their potential to advance AR display performance, including novel materials, device concepts, and fabrication methods

View full posting on CareerOneStop → ID: 762cf74a75c7

Research Scientist

University of Utah · Salt Lake City, UT

Mid-level

2026-05-06

UT 2026-05-06

View full posting on CareerOneStop → ID: d4b28f3d2fe0

Research Scientist: Decision-Making NIH

University of Utah · Salt Lake City, UT

Mid-level

2026-05-06

UT 2026-05-06

View full posting on CareerOneStop → ID: 0cd82a016b76

Research Scientists (PhD)

University of Utah · Salt Lake City, UT

Mid-level

2026-05-06

UT 2026-05-06

View full posting on CareerOneStop → ID: ac1dc8af3fad

Cleared Computer Scientist - Remote Sensing Systems, Onsite

Sandia National Laboratories · Albuquerque, NM

Mid-level

2026-05-06

NM 2026-05-06

View full posting on CareerOneStop → ID: 2d99dc2b1983

INFORMATION TECHNOLOGY SPECIALIST (NETWORK SERVICES/CUSTSPT)

U.S. Air Force Academy · Colorado

Mid-level

2026-05-06

CO 2026-05-06

View full posting on CareerOneStop → ID: 2013e231c80e

Computer Engineer, Level 2

ASRC Federal Holding Company · Oklahoma City, OK

Mid-level

2026-05-06

OK 2026-05-06

View full posting on CareerOneStop → ID: c38d3ab784c4

Computer Engineer, Level 3

ASRC Federal Holding Company · Oklahoma City, OK

Mid-level

2026-05-06

OK 2026-05-06

View full posting on CareerOneStop → ID: 20e8a1e2601f

Electromagnetic Effects Research Engineer (Mid-Level, Senior)

The Boeing Company · Tukwila, WA

Senior Master's

2026-05-05

WA 2026-05-05

Requirements

Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
Airplane level Systems Integration experience
Willing to Travel Domestically and internationally as needed
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required.
"U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
*Export Control Details:
US based job, US Person required

Preferred

8+ years of related work experience or an equivalent combination of education and experience
Expert Technical Understanding in EME, Physics, Composite Structures, or Aerospace Systems Engineering
Experience with directing engineering teams for the definition and execution of work
Advanced degree in physics, electrical engineering, or aerospace
Airplane level Systems Integration Leadership experience
Experience with Model Based System Engineering tools applied to Aerospace platforms
Program leadership experience demonstrating systems integration expertise in EME
Excellent communication skills able to interact with executive leadership to brief plans and accomplishments

Education

Bachelor's Degree or Equivalent Required

Responsibilities

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Engineering & Technology Innovation (E&TI) is looking for a high performing, collaborative Electromagnetic Effects Research Engineer/Physicist to join our team in Tukwila, WA. This role will provide EME/Systems engineering leadership to the Subsonic Flight Demonstrator (SFD) program.
Our teams are currently hiring for a broad range of experience levels including: Mid-Level and Senior Level Electromagnetic Effects Research Engineer/Physicist.
We are E&TI, Boeing's global research and development team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We are engineers and technicians, skilled scientists, and bold innovators. Join us and put your passion, determination, and skill to work building the future!
Lead Subsonic Flight Demonstrator (SFD) EME Systems Integration through program milestones
Provide executive level briefings and progress reports
Communicate and coordinate with Boeing Commercial Aircraft teams (EME, Systems Integration, Structures, ...)
Develop and validate electromagnetic requirements for electrical/electronic systems, mechanical systems, fuel systems, interconnects and structures
Optimize design solution options and create tools to enable inform design decisions
Collaborate with multiple disciplines in developing architectures to integrate components into higher level systems and platforms
Support SFD project management by coordinating the development of work statements, schedule, and budget.
Develop proposals to support development of new business
Champion Systems Engineering, Model Based Systems Engineering, and Multi-Disciplinary Analysis and Optimization development and deployment on the SFD program

View full posting on CareerOneStop → ID: eca1ef2ba079

Senior Research Scientist, Experience Analytics

Amazon · Seattle, WA

Senior Doctorate

2026-05-05

WA 2026-05-05

Requirements

Experience utilizing R or Python
PhD in statistics, computational social science, information science, behavioral science, economics, or a related quantitative field
5+ years of experience applying statistical methods to customer, user, or behavioral research
Experience producing research that has informed product or business decisions

Preferred

Experience with customer experience measurement, journey analytics, or behavioral segmentation
Experience with causal inference methods (A/B testing, quasi-experimental designs, instrumental variables)
Experience working in technology companies where research must translate into product action
Experience with large-scale behavioral data platforms or customer data infrastructure
Published research in applied statistics, computational social science, or related fields
Experience presenting research findings to senior leadership (Director+)

Responsibilities

Apply rigorous statistical methods to customer experience data - segmentation analysis, behavioral pattern analysis, causal inference, and outcome measurement - grounded in the team's customer lifecycle data and metrics frameworks.
Produce research findings structured to inform product strategy and leadership decisions.
Develop research frameworks and approaches for understanding emerging customer populations - AI-augmented builders, agent-primary developers, Gen Z digital natives - where existing methods may not apply.
Write compelling, clear research narratives for technical and non-technical audiences, including senior leadership.
Contribute to the team's scientific direction and mentor others.

View full posting on CareerOneStop → ID: c9d65b6d6e41

Information Technology Specialists

University of Utah · Salt Lake City, UT

Mid-level

2026-05-05

UT 2026-05-05

View full posting on CareerOneStop → ID: bdbac901bf25

Principal Research Scientist II, Peptide Process Engineer

AbbVie · North Chicago, IL

Senior

2026-05-05

IL 2026-05-05

View full posting on CareerOneStop → ID: 8a1491328785

Research Scientist

University of Utah · Salt Lake City, UT

Mid-level

2026-05-04

UT 2026-05-04

View full posting on CareerOneStop → ID: 410944f83c33

AI Research Scientist - Agentic AI for Materials Discovery

Meta · Redmond, WA

Mid-level Doctorate

2026-05-02

WA 2026-05-02

Requirements

AI Research Scientist - Agentic AI for Materials Discovery Responsibilities:
Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
Build specialized AI sub-agents that operate within a closed-loop discovery framework
Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates
Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred

Experience building multi-agent or LLM-orchestrated systems for scientific applications
Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
Publications at peer-reviewed ML or domain conferences
Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
Experience with HPC job orchestration

Responsibilities

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines - from computational screening and simulation through synthesis and characterization - across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas - frontier AI and the physical systems underpinning the metaverse and embodied intelligence - and will contribute both production systems and published research at top-tier venues.

View full posting on CareerOneStop → ID: dbe4aef3039d

Research Scientist III

Insight Global · Redmond, WA

Mid-level Doctorate

2026-05-02

WA 2026-05-02

Requirements

BS in related field (Experimental Psychology, Psychology, Cognitive Science, Computer Science, HCI, Human Factors engineering, Neuroscience, etc.)
Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2+ years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2+ years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top). Plusses:
Advanced degree (MA, doctoral student)
Working with organic crystals - and solubility of compounds
Experience with frequent report writing
Previous experience with CAD software

Responsibilities

The position involves designing, building and automating an established workflow for the experimental screening of organic materials. Built on current in-house processes, this will streamline data acquisition required for the development of novel optoelectronic materials.
Develop next-generation optoelectronic materials with an emphasis on advanced design, fabrication, and analysis, to prove new concepts and understand the potential impact of those concepts.
Collaborate with the larger Meta Reality Labs Research team to holistically understand current goals, limitations, and bottlenecks in the wider AR/VR space.
Build with and develop an intimate understanding of equipment designed for high-throughput experiments.
Design and automate novel crystal growth, processing, and analysis techniques, with a focus on highly specific components and devices.
Communicate results internally and with external partners.
Assist in the translation of research results to practical application in Meta product development.

View full posting on CareerOneStop → ID: 40316c362dfb

Information Technology Specialists

University of Utah · Salt Lake City, UT

Mid-level

2026-05-02

UT 2026-05-02

View full posting on CareerOneStop → ID: ee4e04b31b19

AI Research Engineer II

Microsoft Corporation · Redmond, WA

Mid-level Doctorate

2026-05-01

WA 2026-05-01

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Preferred

Experience building AI agents or multi-agent systems Experience translating research ideas into production systems
Experience deploying GenAI systems in production environments Familiarity with: Azure OpenAI, Azure AI Foundry, or similar platforms Agent frameworks or orchestration systems
Experience designing evaluation frameworks and metrics for AI systems Knowledge of: AI safety and responsible AI practices Prompt injection and security risks in LLM systems
Experience working on security, identity, fraud, or risk-based systems

Responsibilities

Design and build GenAI-powered agents that reason over signals, retrieve knowledge, and take intelligent actions to support complex workflows
Build AI systems with RAG, prompt engineering, and tool-using agents that handle multi-step workflows.
Build and integrate agent frameworks and AI services that enable reasoning, planning, and task execution
Apply traditional machine learning techniques (e.g., classification, anomaly detection, ranking) alongside LLM-based systems to improve overall system performance
Prototype and iterate on novel AI approaches, translating emerging research into practical production systems Implement context engineering, structured outputs, and guardrails to improve system reliability and consistency
Develop and deploy production-grade AI systems, ensuring scalability, performance, and resilience
Design and execute evaluation frameworks to measure: Groundedness Relevance and correctness Model and system performance (precision, recall, etc.) Continuously improve systems through offline experimentation and production monitoring
Prototype and deliver advanced capabilities such as: Multi-agent orchestration Stateful reasoning and memory Context-aware decision systems
Collaborate with partner teams and researchers to bring new AI capabilities into production Incorporate safe and responsible AI practices, including mitigating hallucinations, misuse, and prompt injection risks

View full posting on CareerOneStop → ID: f8b8bc276768

Research Scientist, WWGS Real Estate & Store Development

Amazon · Seattle, WA

Mid-level Doctorate

2026-05-01

WA 2026-05-01

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets

Preferred

Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks

Responsibilities

Design and implement forecasting models and machine learning solutions to predict store performance and optimize our retail network.
Analyze large datasets to uncover insights and patterns related to store performance, customer behavior, and market dynamics.
Develop end-to-end solutions, tools and frameworks to scale our ML model development and data analysis.
Leverage GenAI models to enhance user interaction with our solutions, improve overall user experience, and build new features.
Present research findings and recommendations to scientists, business leaders, and executives.
Collaborate with cross-functional teams to drive adoption of models and insights.
Stay current on latest developments in relevant fields and propose innovative approaches.

View full posting on CareerOneStop → ID: d2029523ef3c

Research Scientist/Engineer 3, Genome Evolution in Yeast

University of Washington · Seattle, WA

Mid-level Doctorate

2026-05-01

WA 2026-05-01

Requirements

Bachelor's degree in genetics, biology, chemistry, evolution, or related field and 4 or more years prior expertise in biology research and genomics related to yeast evolution.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Preferred

PhD in genetics, biology, chemistry, evolution, or related field
Experience providing guidance to students in a diverse and inclusive environment.

Responsibilities

*The Department of Genome Sciences has an outstanding opportunity for a Research Scientist Engineer 3.
This researcher will perform molecular biology, cell biology, DNA sequencing, and data analysis experiments in the Dunham lab. The Dunham lab is focused on genome evolution and copy number variation in yeast using experimental evolution in the chemostat and comparative genomics approaches. We also use yeast as a platform to study the consequences of human genetic variation. ( https://depts.washington.edu/dunhamlab/ )
Design and conduct experiments on genome evolution in yeast. 40%
Develop and optimize methods for genomic analysis of budding yeast. 20%
Contribute to reports, publications, grant proposals, and presentations 20%
Provide guidance and outreach to students. 15%
Other duties as assigned 5%

View full posting on CareerOneStop → ID: 52b62eb4855c

Computer Engineer, CE

Micron Technology, Inc. · Boise, ID

Mid-level

2026-05-01

ID 2026-05-01

View full posting on CareerOneStop → ID: feb8a2baef24

AI Research Scientist, CoreML - Monetization

Meta · Seattle, WA

Mid-level Doctorate

2026-04-30

WA 2026-04-30

Requirements

AI Research Scientist, CoreML - Monetization Responsibilities:
Extracting meaningful signals from both 1st-party and 3rd-party data sources
Advancing representation learning
Scaling solutions to efficiently process hundreds of billions of data points
Driving continuous algorithmic innovation
Seamlessly productionizing research breakthroughs all while optimizing serving costs
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in Computer Science, Machine Learning, or a relevant technical field
3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments
First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
Experience in pre-training, post-training, fine-tuning models
Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction)
Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
Willing to collaborate with others in a productive, interdisciplinary environment

Responsibilities

Meta's Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects-true moonshots-with the potential to redefine Meta's monetization strategies. By consistently pushing the boundaries of what's possible, we deliver breakthrough innovations that not only advance Meta's business objectives but also result in publications at top-tier conferences.Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences-unlocking new possibilities for personalization and relevance.As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta's monetization strategies and help define the next generation of recommender systems.

View full posting on CareerOneStop → ID: 86812c954a5a

AI Research Scientist, Video Generation and Post Training, FAIR

Meta · Bellevue, WA

Mid-level Doctorate

2026-04-30

WA 2026-04-30

Requirements

AI Research Scientist, Video Generation and Post Training, FAIR Responsibilities:
Conduct fundamental and applied research in video generation, including generative models, video synthesis, and multimodal learning
Develop and optimize post-training paradigms for large-scale video and multimodal models, improving their performance, robustness, and generalization
Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI
Contribute to the development and deployment of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field
Demonstrated expertise in video generation, computer vision, or multimodal AI
Experience with large-scale model training, post-training optimization techniques, and data curation
Publication record in relevant fields

Preferred

Demonstrated research and software engineering experience via internships, industry or academic work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)
Experience with video generation, video synthesis, or multimodal fusion techniques
Experience with video-language models and architectures relevant to video generation and post training
Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals, or conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV)
Experience solving complex problems and evaluating alternative solutions, tradeoffs, and perspectives to determine a path forward
Experience working and communicating cross-functionally in a collaborative, interdisciplinary team environment

Responsibilities

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team within Meta Superintelligence Labs (MSL). Our mission is to advance the science of intelligence and develop technologies that push the boundaries of AI. We are looking for researchers with expertise in video generation and post-training of large-scale models to help build the perceptual and generative foundations for next-generation AI systems.This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities.

View full posting on CareerOneStop → ID: d8cd82a37f94

Research Scientist/Engineer Assistant

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-04-30

WA 2026-04-30

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Bachelor's degree in Biology, Biochemistry or related Scientific field and less than one year of relevant Pancreatic islet regeneration and diabetes research experience.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.

Preferred

Must be willing to work with mice.
Hands-on experience in cell biology, molecular biology, and/or biochemistry, applied to Endocrinology and Diabetes Mellitus research.
Demonstrated interest in pancreatic islet biology and regeneration, with a willingness to learn and apply new laboratory techniques.
Experience with basic laboratory techniques, including pipetting, solution preparation, sterile technique, and lab safety; exposure to cell culture or molecular biology methods (e.g., PCR) preferred.
Ability to accurately document experiments, follow established protocols, and maintain organized research records.
Strong organizational, communication, and teamwork skills, with the ability to support multiple projects in a research setting.
Experience with tissue culture.
Prior hands-on experience with animal work including handling of large animal colonies, breeding and genetic screening of diverse mouse strains, handling and treatment of diabetic mice.
At least 1-year hands-on experience in cell biology, molecular biology, and/or biochemistry, applied to Endocrinology and Diabetes Mellitus research.
Experience with Metabolic Assays and protein analysis methods (e.g., Western blot, ELISA).Experience with data analysis tools (e.g., Excel, GraphPad Prism, or similar).
Ability to quickly learn new laboratory techniques and adapt to evolving research needs.

Responsibilities

*The Division of Metabolism, Endocrinology and Nutrition (MET) has an outstanding opportunity for a Research Scientist/Engineer Assistant position to join the Crisa Laboratory.
*_Experiment and Assay Development (40%)_
Assist in the preparation and processing of genomic DNA, RNA, and cDNA, including support for real-time PCR workflows.
Apply molecular biology techniques (e.g., PCR, qPCR) to analyze gene expression and identify signatures in experimental and control samples.
Support protein-based assays, including protein extraction, pull-down assays, and gel electrophoresis.
Perform and help optimize ELISA and metabolic assays, ensuring accuracy, reproducibility, and proper controls.
Contribute to the development, optimization, and troubleshooting of experimental protocols.
*_Animal work (30%)_
Perform routine mouse handling and husbandry, including tagging, tailing, genotyping, and monitoring animal health.
Assist with breeding colony management, including tracking, recordkeeping, and coordination of experimental cohorts.
Ensure compliance with institutional animal care and use protocols and maintain accurate documentation.
*_Tissue Processing and Cell culture (20%)_
Perform immunohistochemistry and immunofluorescence staining, including tissue preparation, sectioning support, and imaging preparation.
Maintain and perform sterile mammalian cell culture techniques, including cell plating, media changes, and basic assay support.
Assist with tissue collection, processing, and sample preparation for downstream analyses.
Maintain accurate and detailed laboratory records, including experimental data and protocols.
Support lab operations, including purchasing, inventory management, and data entry.
Assist with routine maintenance of laboratory equipment and ensure adequate stocking of consumables.
Maintain a safe, organized, and collaborative laboratory environment.

View full posting on CareerOneStop → ID: 8cc98b6f12a8

Research Scientist - Clinical & Translational Research

Caris Life Sciences · Tempe, AZ

Mid-level

2026-04-30

AZ 2026-04-30

View full posting on CareerOneStop → ID: 9dfd78869bf4

Computer Scientist Level 3

ASRC Federal Holding Company · Oklahoma City, OK

Mid-level

2026-04-30

OK 2026-04-30

View full posting on CareerOneStop → ID: d538e70dff41

Research Scientist/Engr 1

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-04-29

WA 2026-04-29

Requirements

Bachelor's Degree in Biochemistry, molecular biology, bioengineering, chem biol, or related field and one year of relevant experience laboratory research.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
*Additional Requirements: Molecular cloning: PCR, Gibson/Golden Gate assembly, mutagenesis, bacterial transformation, plasmid preparation, and sequence verification.
Protein production: bacterial expression, affinity purification, chromatography/FPLC workflows, and protein QC.
Biochemical assays: experience with enzyme assays, transcription assays, fluorescence-based readouts, or related in vitro functional measurements.
. Experience with cell-free transcription or nucleic-acid enzyme assays.
Experience using modified nucleotides (e.g., fluorescent, biotinylated, or otherwise chemically functionalized substrates).
Experience with optogenetic proteins, light-controlled assays, or photochemistry/fluorescence instrumentation.
Sequencing library preparation or sample-prep familiarity for assay readouts.
Experience with protein binders, display/selections, or protein-sensor engineering.
Basic computational comfort for organizing data, plotting results, and working with standard lab analysis tools.
Data quality and documentation: careful experimental record-keeping, sample tracking, and SOP development.
Communication and teamwork: ability to summarize results clearly and work closely with the PI and collaborators.
research assistantships/internships acceptable, strong hands-on

Responsibilities

*Field of research :
Protein engineering, synthetic biology, and biochemical tool development with emphasis on optogenetically controlled RNA/DNA polymerases, programmable nucleic-acid writing, and in vitro assay systems for polymerase activity, specificity, and error control.
*Purpose of the research project(s):
To build and execute the experimental pipeline for engineering and characterizing light-responsive RNA polymerase systems. The position will support molecular cloning, protein production, and cell-free functional assays needed to generate sponsor-facing milestones and publications on optogenetic polymerase control, sequence-programmed RNA synthesis, and related protein-sensor technologies.
Molecular cloning and construct generation - 25%
Design and build plasmids for engineered T7 polymerases, optogenetic domains, protein binders, reporters, and assay controls using PCR, Gibson/Golden Gate assembly, mutagenesis, and sequence verification.
Protein expression, purification, and QC - 20%
Express and purify polymerases, binders, and optogenetic protein components (primarily from bacteria) using affinity chromatography/FPLC and standard QC methods such as SDS-PAGE, concentration assessment, and storage optimization.
In vitro functional assay development and execution - 25%
Develop and run cell-free transcription and polymerase assays, including time-course transcription assays, one- or few-base incorporation assays, and assays using modified nucleotides such as fluorescently labeled or biotinylated bases.
Optogenetic characterization and readout integration - 15%
Perform light-control experiments, fluorescence/plate-reader assays, and other optical measurements needed to evaluate gating behavior, kinetics, and retained function of engineered constructs.
Sequencing sample preparation and data/QC handoff - 10%
Prepare samples for sequencing-based readouts, organize construct/sample metadata, and maintain clean experimental records that support downstream analysis and sponsor reporting.
Project support, documentation, and collaboration - 5%
Maintain SOPs, reagent inventories, and experimental documentation; prepare figures/tables for meetings and reports; and coordinate day-to-day bench workflows with the PI, trainees, and collaborating groups.
*Visa Eligibility
This position is eligible for H-1B sponsorship.

View full posting on CareerOneStop → ID: b9fdb87057b3

Adjunct Instructor - Electrical and Computer Engineering

UTAH VALLEY UNIVERSITY · Orem, UT

Mid-level

2026-04-29

UT 2026-04-29

View full posting on CareerOneStop → ID: ae077f227836

Research Engineer - RF, photonic, mixed-signal

SRI International · Boulder, CO

Mid-level

2026-04-29

CO 2026-04-29

View full posting on CareerOneStop → ID: e80faa486745

Computer Engineer, Level 1

ASRC Federal Holding Company · Oklahoma City, OK

Entry-level

2026-04-29

OK 2026-04-29

View full posting on CareerOneStop → ID: 636442e908fb

Computer Scientist

ASRC Federal Holding Company · Oklahoma City, OK

Mid-level

2026-04-29

OK 2026-04-29

View full posting on CareerOneStop → ID: 78bcadb2c97b

AI Research Engineer

Meta · Olympia, WA

Mid-level Doctorate

2026-04-28

WA 2026-04-28

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams
Impressive engineering background (PhD in ML not required)
Experience working in AI/ML environments
Can manage data pipelines and versioning

Responsibilities

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping reimagine core experiences and reshape how people discover content, connect with creators, and interact with each other.The work spans some of the most bold bets in applied GenAI, including:- Building the post-training, evaluation, and serving systems that turn frontier LLMs into reliable, high-quality product experiences used by billions.- Building a general-purpose agentic platform that powers a wide range of GenAI products across Facebook -enabling teams to ship faster, safer, and at scale.- Building systems that enable capacity and cost optimizations through model fine-tuning, post-training and other techniques. - Adapting and scaling these systems across Meta's products. Why Join Us- Product LLM work at singular scale Your post-training decisions, evaluation frameworks, and serving architecture directly affect billions of daily interactions.- End-to-end ownership We don't hand off models to a separate product team. We own the loop from training data to production behavior to measurement. The impact of your work shows up in days, not quarters.- The problems are unsolved How do you evaluate open-ended conversational AI at scale? How do you fine-tune for groundedness across millions of varied creator profiles? These aren't incremental improvements, they're open research questions with immediate product consequences.- Our team is hands-on, with high autonomy, working on critical bets We're deliberately keeping this team lean and experienced. You'll have outsized influence on technical direction, not just execution.Depending on your interests and strengths, your work could span post-training pipelines (SFT, RLHF, synthetic data generation), evaluation methodology (auto-judge design, benchmark construction, human-AI calibration), production serving systems (RAG, memory, multi-modal generation), multi-agent orchestration, or E2E experience of building agentic products, - all grounded in shipping to real users at scale
Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases
Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta's product development

View full posting on CareerOneStop → ID: 46197940a8eb

AI Research Engineer

Meta · Olympia, WA

Mid-level Doctorate

2026-04-28

WA 2026-04-28

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams
Impressive engineering background (PhD in ML not required)
Experience working in AI/ML environments
Can manage data pipelines and versioning

Responsibilities

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping reimagine core experiences and reshape how people discover content, connect with creators, and interact with each other.The work spans some of the most bold bets in applied GenAI, including:- Building the post-training, evaluation, and serving systems that turn frontier LLMs into reliable, high-quality product experiences used by billions.- Building a general-purpose agentic platform that powers a wide range of GenAI products across Facebook -enabling teams to ship faster, safer, and at scale.- Building systems that enable capacity and cost optimizations through model fine-tuning, post-training and other techniques. - Adapting and scaling these systems across Meta's products. Why Join Us- Product LLM work at singular scale Your post-training decisions, evaluation frameworks, and serving architecture directly affect billions of daily interactions.- End-to-end ownership We don't hand off models to a separate product team. We own the loop from training data to production behavior to measurement. The impact of your work shows up in days, not quarters.- The problems are unsolved How do you evaluate open-ended conversational AI at scale? How do you fine-tune for groundedness across millions of varied creator profiles? These aren't incremental improvements, they're open research questions with immediate product consequences.- Our team is hands-on, with high autonomy, working on critical bets We're deliberately keeping this team lean and experienced. You'll have outsized influence on technical direction, not just execution.Depending on your interests and strengths, your work could span post-training pipelines (SFT, RLHF, synthetic data generation), evaluation methodology (auto-judge design, benchmark construction, human-AI calibration), production serving systems (RAG, memory, multi-modal generation), multi-agent orchestration, or E2E experience of building agentic products, - all grounded in shipping to real users at scale
Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases
Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta's product development

View full posting on CareerOneStop → ID: a2fcdf044e8a

Research Engineer, Monetization AI

Meta · Olympia, WA

Mid-level Doctorate

2026-04-28

WA 2026-04-28

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Research experience in machine learning, deep learning, natural language processing, and/or recommender systems
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Exposure to architectural patterns of large scale software applications

Preferred

PhD in AI, Computer Science, Data Science, or related technical fields
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, RecSys, KDD, WSDM, TheWebConf, ICDM, AAAI)
Direct experience in generative AI, LLMs, RecSys, ML research
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Responsibilities

We are the Monetization Ranking and Foundational AI organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML/RecSys advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI/ML/RecSys specialists to join our team and drive SOTA research and production across the Monetization organization.
Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning
Design and implement generative modeling solutions for data augmentation
Develop and deploy machine learning pipelines
Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

View full posting on CareerOneStop → ID: dc5167385d53

Research Engineer, Monetization AI

Meta · Olympia, WA

Mid-level Doctorate

2026-04-28

WA 2026-04-28

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Research experience in machine learning, deep learning, natural language processing, and/or recommender systems
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Exposure to architectural patterns of large scale software applications

Preferred

PhD in AI, Computer Science, Data Science, or related technical fields
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, RecSys, KDD, WSDM, TheWebConf, ICDM, AAAI)
Direct experience in generative AI, LLMs, RecSys, ML research
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Responsibilities

We are the Monetization Ranking and Foundational AI organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML/RecSys advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI/ML/RecSys specialists to join our team and drive SOTA research and production across the Monetization organization.
Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning
Design and implement generative modeling solutions for data augmentation
Develop and deploy machine learning pipelines
Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

View full posting on CareerOneStop → ID: 7712bba3c03c

AI Research Engineer

Meta · Boise, ID

Mid-level

2026-04-28

ID 2026-04-28

View full posting on CareerOneStop → ID: e77006b879ea

Research Engineer, Monetization AI

Meta · Boise, ID

Mid-level

2026-04-28

ID 2026-04-28

View full posting on CareerOneStop → ID: 496162ac1b01

AI Research Engineer

Meta · Salem, OR

Mid-level

2026-04-28

OR 2026-04-28

View full posting on CareerOneStop → ID: aa54db72b270

AI Research Engineer

Meta · Salem, OR

Mid-level

2026-04-28

OR 2026-04-28

View full posting on CareerOneStop → ID: 2c5cc51c86e4

Research Engineer, Monetization AI

Meta · Salem, OR

Mid-level

2026-04-28

OR 2026-04-28

View full posting on CareerOneStop → ID: ed1adce28032

Research Engineer, Monetization AI

Meta · Salem, OR

Mid-level

2026-04-28

OR 2026-04-28

View full posting on CareerOneStop → ID: 57677e99ed27

AI Research Engineer

Meta · Helena, MT

Mid-level

2026-04-28

MT 2026-04-28

View full posting on CareerOneStop → ID: 9b083eaa4de5

Research Engineer, Monetization AI

Meta · Helena, MT

Mid-level

2026-04-28

MT 2026-04-28

View full posting on CareerOneStop → ID: f5e5cb1838cf

AI Research Engineer

Meta · Cheyenne, WY

Mid-level

2026-04-28

WY 2026-04-28

View full posting on CareerOneStop → ID: a23653a2a4e1

AI Research Engineer

Meta · Cheyenne, WY

Mid-level

2026-04-28

WY 2026-04-28

View full posting on CareerOneStop → ID: 04d21305a217

Research Engineer, Monetization AI

Meta · Cheyenne, WY

Mid-level

2026-04-28

WY 2026-04-28

View full posting on CareerOneStop → ID: 938164ff61fc

Research Engineer, Monetization AI

Meta · Cheyenne, WY

Mid-level

2026-04-28

WY 2026-04-28

View full posting on CareerOneStop → ID: 43547118271e

AI Research Engineer

Meta · Salt Lake City, UT

Mid-level

2026-04-28

UT 2026-04-28

View full posting on CareerOneStop → ID: 6b6a243d99eb

AI Research Engineer

Meta · Salt Lake City, UT

Mid-level

2026-04-28

UT 2026-04-28

View full posting on CareerOneStop → ID: b2d2f1911db1

Clinical Research Scientist

BIOMERIEUX, INC. · Salt Lake City, UT

Mid-level

2026-04-28

UT 2026-04-28

View full posting on CareerOneStop → ID: 1d19e94d06b7

Research Engineer, Monetization AI

Meta · Salt Lake City, UT

Mid-level

2026-04-28

UT 2026-04-28

View full posting on CareerOneStop → ID: 5f664e881409

Research Engineer, Monetization AI

Meta · Salt Lake City, UT

Mid-level

2026-04-28

UT 2026-04-28

View full posting on CareerOneStop → ID: df36ca10322a

AI Research Engineer

Meta · Carson City, NV

Mid-level

2026-04-28

NV 2026-04-28

View full posting on CareerOneStop → ID: 7789b64505b8

AI Research Engineer

Meta · Carson City, NV

Mid-level

2026-04-28

NV 2026-04-28

View full posting on CareerOneStop → ID: 6e0c58ec4bcc

Research Engineer, Monetization AI

Meta · Carson City, NV

Mid-level

2026-04-28

NV 2026-04-28

View full posting on CareerOneStop → ID: 1c44bff12e26

Research Engineer, Monetization AI

Meta · Carson City, NV

Mid-level

2026-04-28

NV 2026-04-28

View full posting on CareerOneStop → ID: 34711fd09abe

AI Research Engineer

Meta · Bismarck, ND

Mid-level

2026-04-28

ND 2026-04-28

View full posting on CareerOneStop → ID: 4a75a5f98804

AI Research Engineer

Meta · Bismarck, ND

Mid-level

2026-04-28

ND 2026-04-28

View full posting on CareerOneStop → ID: a7709beeb2cf

Research Engineer, Monetization AI

Meta · Bismarck, ND

Mid-level

2026-04-28

ND 2026-04-28

View full posting on CareerOneStop → ID: b4f0da1e1972

Research Engineer, Monetization AI

Meta · Bismarck, ND

Mid-level

2026-04-28

ND 2026-04-28

View full posting on CareerOneStop → ID: 205ddda0ee51

AI Research Engineer

Meta · Pierre, SD

Mid-level

2026-04-28

SD 2026-04-28

View full posting on CareerOneStop → ID: 92063aa39c48

AI Research Engineer

Meta · Pierre, SD

Mid-level

2026-04-28

SD 2026-04-28

View full posting on CareerOneStop → ID: 8678ddd5070d

Research Engineer, Monetization AI

Meta · Pierre, SD

Mid-level

2026-04-28

SD 2026-04-28

View full posting on CareerOneStop → ID: 496430c579e5

Research Engineer, Monetization AI

Meta · Pierre, SD

Mid-level

2026-04-28

SD 2026-04-28

View full posting on CareerOneStop → ID: a2fb55926781

AI Research Engineer

Meta · Phoenix, AZ

Mid-level

2026-04-28

AZ 2026-04-28

View full posting on CareerOneStop → ID: 793988fcdf5a

Research Engineer, Monetization AI

Meta · Phoenix, AZ

Mid-level

2026-04-28

AZ 2026-04-28

View full posting on CareerOneStop → ID: d45681c0baad

AI Research Engineer

Meta · Santa Fe, NM

Mid-level

2026-04-28

NM 2026-04-28

View full posting on CareerOneStop → ID: d6308eb494ac

AI Research Engineer

Meta · Santa Fe, NM

Mid-level

2026-04-28

NM 2026-04-28

View full posting on CareerOneStop → ID: a6583fbcc2cc

Research Engineer, Monetization AI

Meta · Santa Fe, NM

Mid-level

2026-04-28

NM 2026-04-28

View full posting on CareerOneStop → ID: 764d35978323

Research Engineer, Monetization AI

Meta · Santa Fe, NM

Mid-level

2026-04-28

NM 2026-04-28

View full posting on CareerOneStop → ID: 8bb44a9a9154

AI Research Engineer

Meta · Lincoln, NE

Mid-level

2026-04-28

NE 2026-04-28

View full posting on CareerOneStop → ID: a11fce29a87a

AI Research Engineer

Meta · Lincoln, NE

Mid-level

2026-04-28

NE 2026-04-28

View full posting on CareerOneStop → ID: a2353b156e01

Research Engineer, Monetization AI

Meta · Lincoln, NE

Mid-level

2026-04-28

NE 2026-04-28

View full posting on CareerOneStop → ID: 62b5bf5c47be

Research Engineer, Monetization AI

Meta · Lincoln, NE

Mid-level

2026-04-28

NE 2026-04-28

View full posting on CareerOneStop → ID: a5865350c7e0

AI Research Engineer

Meta · Topeka, KS

Mid-level

2026-04-28

KS 2026-04-28

View full posting on CareerOneStop → ID: 0dbdc66d7f27

Research Engineer, Monetization AI

Meta · Topeka, KS

Mid-level

2026-04-28

KS 2026-04-28

View full posting on CareerOneStop → ID: c872f7861c5d

AI Research Engineer

Meta · Oklahoma City, OK

Mid-level

2026-04-28

OK 2026-04-28

View full posting on CareerOneStop → ID: aba142e0d9d5

AI Research Engineer

Meta · Oklahoma City, OK

Mid-level

2026-04-28

OK 2026-04-28

View full posting on CareerOneStop → ID: 722ea9cfbd8c

Research Engineer, Monetization AI

Meta · Oklahoma City, OK

Mid-level

2026-04-28

OK 2026-04-28

View full posting on CareerOneStop → ID: 8bd56f258fde

Research Engineer, Monetization AI

Meta · Oklahoma City, OK

Mid-level

2026-04-28

OK 2026-04-28

View full posting on CareerOneStop → ID: 6b84b61a0553

AI Research Engineer

Meta · Des Moines, IA

Mid-level

2026-04-28

IA 2026-04-28

View full posting on CareerOneStop → ID: 214280ed46f1

Research Engineer, Monetization AI

Meta · Des Moines, IA

Mid-level

2026-04-28

IA 2026-04-28

View full posting on CareerOneStop → ID: 8b7e106be4bf

AI Research Engineer

Meta · Jefferson City, MO

Mid-level

2026-04-28

MO 2026-04-28

View full posting on CareerOneStop → ID: f40aa5ce927a

Research Engineer, Monetization AI

Meta · Jefferson City, MO

Mid-level

2026-04-28

MO 2026-04-28

View full posting on CareerOneStop → ID: 036b72d3b544

AI Research Engineer

Meta · Little Rock, AR

Mid-level

2026-04-28

AR 2026-04-28

View full posting on CareerOneStop → ID: bcd0e61c31b2

Research Engineer, Monetization AI

Meta · Little Rock, AR

Mid-level

2026-04-28

AR 2026-04-28

View full posting on CareerOneStop → ID: ccdc0d2e80ec

AI Research Engineer

Meta · Baton Rouge, LA

Mid-level

2026-04-28

LA 2026-04-28

View full posting on CareerOneStop → ID: ef74f251ee6b

Research Engineer, Monetization AI

Meta · Baton Rouge, LA

Mid-level

2026-04-28

LA 2026-04-28

View full posting on CareerOneStop → ID: 92a88ff7b7c9

AI Research Engineer

Meta · Jackson, MS

Mid-level

2026-04-28

MS 2026-04-28

View full posting on CareerOneStop → ID: 337c375f2fb6

Research Engineer, Monetization AI

Meta · Jackson, MS

Mid-level

2026-04-28

MS 2026-04-28

View full posting on CareerOneStop → ID: 3cd356fecae7

AI Research Engineer

Meta · Montgomery, AL

Mid-level

2026-04-28

AL 2026-04-28

View full posting on CareerOneStop → ID: 8dc6ca786fbb

Research Engineer, Monetization AI

Meta · Montgomery, AL

Mid-level

2026-04-28

AL 2026-04-28

View full posting on CareerOneStop → ID: b1a061a73399

AI Research Engineer

Meta · Nashville, TN

Mid-level

2026-04-28

TN 2026-04-28

View full posting on CareerOneStop → ID: 3999f24f85cd

AI Research Engineer

Meta · Nashville, TN

Mid-level

2026-04-28

TN 2026-04-28

View full posting on CareerOneStop → ID: fbefa946e880

AI Research Engineer

Meta · Frankfort, KY

Mid-level

2026-04-28

KY 2026-04-28

View full posting on CareerOneStop → ID: b7c4336a7a98

Research Engineer, Monetization AI

Meta · Frankfort, KY

Mid-level

2026-04-28

KY 2026-04-28

View full posting on CareerOneStop → ID: a58d6cfe2b91

Senior/Principal R&D Computer Engineer - IT Infrastructure and Systems Leadership, Onsite

Sandia National Laboratories · Albuquerque, NM

Senior

2026-04-27

NM 2026-04-27

View full posting on CareerOneStop → ID: cc999f6059c0

Protein Sciences Research Scientist

Vertex Pharmaceuticals Incorporated · Seattle, WA

Mid-level Doctorate

2026-04-26

WA 2026-04-26

Education

PhD in Cell Biology, Biochemistry, Biophysics, Chemical Engineering, Bioengineering, or a related field with 2+ years of relevant industry experience; o
Master's degree in one of the above fields with 3+ years of relevant industry experience; o
Bachelor's degree in one of the above fields with 6+ years of relevant industry experience.

Responsibilities

*General Summary:
We are seeking a motivated Scientist to join our Protein Science team. In this role, you will purify and characterize therapeutic proteins and research reagents at milligram- to gram-scale in support of early- and late-stage discovery programs. The ideal candidate will bring strong expertise in protein purification, protein analytics, and protein-protein interaction characterization, and will help advance platform capabilities through innovative approaches in analytical characterization and biologics developability assessment.
Operate AKTA chromatography systems using UNICORN software to purify antibodies, Fc fusion proteins, and His-tagged protein reagents for in vitro and in vivo applications.
Design and execute fit-for-purpose purification strategies using Protein A, immobilized metal affinity chromatography (IMAC), ion exchange chromatography (IEX), hydrophobic interaction chromatography (HIC), and preparative size exclusion chromatography (SEC).
Perform analytical characterization using UV-Vis spectroscopy, analytical SEC on HPLC/UPLC systems with Empower software, endotoxin testing, SDS-PAGE, and western blotting.
Develop, implement, and improve analytical workflows to support the developability assessment of biologics.
Collaborate with cross-functional teams and external partners to support mass spectrometry analyses.
Develop and optimize bio-layer interferometry (BLI) assays to evaluate protein-protein interactions and determine binding kinetics, including KD, kon, and koff.
Present purification, analytical, and developability data to the Protein Science team, project teams, and the broader research organization.
Maintain accurate, timely, and well-organized records in electronic lab notebooks and protein inventory/database systems.
*Knowledge and Skills:
Demonstrated expertise operating AKTA systems and UNICORN software for protein purification.
Strong hands-on experience with protein capture and polishing methods using resins such as MabSelect SuRe, MabSelect PrismA, Capto L, Capto DEAE, Capto Q, and Capto S.
Proficiency with Waters HPLC/UPLC systems and Empower software, including SEC, HIC, IEX, and reversed-phase methods.
Experience performing SDS-PAGE and developing or troubleshooting western blot methods.
Experience evaluating protein stability and manufacturability using biophysical methods such as DSF, DLS, AC-SINS, cross-interaction chromatography (CIC), or standup monolayer chromatography (SMAC).
Experience supporting protein therapeutic candidates from early discovery through advancement toward development in highly collaborative, fast-paced, and results-driven teams.
Experience using BLI or SPR to perform kinetic or quantitative binding assays.
Familiarity with cIEF for charged variant analysis and mass spectrometry for protein identification and post-translational modification (PTM) analysis.

View full posting on CareerOneStop → ID: 420f34773aa8

Senior Research Scientist, Target Identification & Validation - Translational Im

Vertex Pharmaceuticals Incorporated · Seattle, WA

Senior

2026-04-26

WA 2026-04-26

Responsibilities

*General Summary:
Vertex Pharmaceuticals is seeking a highly motivated and innovative Senior Research Scientist with expertise in immunology and autoimmune disease biology to join our Target Identification and Validation team within the Seattle-based Translational Immunology team. This role will contribute to the discovery and validation of novel therapeutic targets for autoimmune and inflammatory diseases with serious unmet medical need.
The successful candidate will apply deep immunological knowledge and cutting-edge experimental approaches to interrogate disease mechanisms, define novel therapeutic targets, and build data packages that inform portfolio decisions. This is a laboratory-based position embedded within a collaborative, cross-functional drug discovery environment where scientific rigor, creativity, and translational thinking are essential. The ideal candidate will bring hands-on expertise in human immunology, a strong record of scientific accomplishment, and the ability to thrive in a fast-paced, team-oriented setting focused on delivering transformative medicines for patients.
Design, execute, and interpret experiments to identify and validate novel therapeutic targets relevant to autoimmune and inflammatory diseases
Develop and optimize disease-relevant in vitro and ex vivo assay systems using primary human immune cells and patient-derived samples to evaluate target biology and therapeutic potential
Integrate multi-dimensional datasets including genomic, transcriptomic, proteomic, and functional data to generate and refine target hypotheses
Collaborate with data and computational sciences colleagues to leverage large-scale human datasets for target discovery and prioritization
Contribute to the design and execution of in vivo studies to assess target relevance and therapeutic mechanisms in preclinical models
Present scientific findings and strategic recommendations to cross-functional project teams, senior leadership, and external collaborators with clarity and scientific rigo
Evaluate and implement emerging technologies and experimental platforms to advance target identification and validation capabilities
Collaborate closely with immune cell profiling, clinical biomarker, and drug discovery teams across Vertex's multi-site research organization to support program progression
Maintain thorough and accurate documentation of experimental work in electronic laboratory notebooks and contribute to internal knowledge-sharing
Stay current with the scientific literature and external landscape in immunology and autoimmune disease biology to inform research strategy
Perform other duties as assigned
*Knowledge and Skills:
Strong expertise in immunology and immune cell biology, with a working understanding of the cellular and molecular mechanisms underlying autoimmune and inflammatory diseases
Proven experience in the isolation, culture, and functional characterization of primary human immune cell populations from peripheral blood and tissues
Deep proficiency in multi-parameter flow cytometry, including panel design, acquisition, and data analysis
Hands-on experience with molecular and cellular biology techniques including ELISA, MSD, qPCR, Western blotting, and cell-based functional assays
Familiarity with CRISPR-based gene editing approaches and their application to target validation
Working knowledge of single-cell technologies, multi-omics approaches, and high-dimensional data analysis
Basic computational skills, including data visualization and statistical analysis, with an interest in developing this skill set furthe
Demonstrated ability to design rigorous experiments to dete

View full posting on CareerOneStop → ID: 4346ba0f062f

Computer Engineer

Defense Contract Management Agency · Roy, UT

Mid-level

2026-04-24

UT 2026-04-24

View full posting on CareerOneStop → ID: a02f6306899d

Research Scientist PhD-RN

BJC HealthCare · Saint Louis, MO

Mid-level

2026-04-24

MO 2026-04-24

View full posting on CareerOneStop → ID: c54cc402265e

AI Research Scientist - Multimodal Intelligence

Apple · Seattle, WA

Mid-level Doctorate

2026-04-23

WA 2026-04-23

Requirements

Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow).
Experience working with large-scale training pipelines and distributed systems.
Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.

Preferred

PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
Demonstrated expertise in related field with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc).
Experience with full stack of foundation model training (vision-language).
Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
Ability to work effectively in a multi-functional, collaborative environment.
Experience with advanced reasoning or reinforcement learning methods.
Experience with model distillation using on-policy or off-policy techniques.

Responsibilities

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an AI Research Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.
You will work on advancing the capabilities of foundation models and guiding them toward real-world applications in Apple products. This includes researching and developing methods that improve alignment, reasoning, and adaptation of large models to practical use cases, while ensuring they meet Apple's standards for efficiency, scalability, and privacy. You will focus on creating customized foundation models with targeted capabilities that operate efficiently in constrained environments, supporting the next generation of intelligence across Apple's ecosystem.
Your work includes staying ahead of emerging research and identifying techniques that are suitable for real-world deployment, helping translate scientific advancements into production-quality solutions. You will design and optimize large-scale data pipelines that support robust training and detailed evaluation of foundation models, working with massive multimodal datasets to push the limits of performance. You will explore new techniques that strengthen focused reasoning, multimodal understanding, and adaptive behavior, enabling models that perform well at large scale while also being tailored for specific Apple experiences, from cloud systems to on-device intelligence.
Collaboration is essential in this role. You will partner with multi-functional teams of engineers and researchers to bring customized and efficient models into Apple products, ensuring smooth integration and enabling intelligent and natural user experiences throughout the ecosystem.

View full posting on CareerOneStop → ID: 185c521f0f54

Human Factors Research Engineer, AIML Data Operations

Apple · Seattle, WA

Mid-level Doctorate

2026-04-23

WA 2026-04-23

Requirements

MS or PhD in Computer Science, Human-Computer Interaction or equivalent degree
3+ years of experience in mixed-methods human factors research, especially in evaluating user interface designs
Expert in qualitative and quantitative experimental design, statistical data analysis, and reporting
Excellent listening, communication and interview skills in both individual and focus group settings
Experience with human-in-the-loop evaluation, data annotation workflows, or AI/LLM model development

Preferred

Proactive, curious, data-driven, and collaborative
Proficient in data exploration and data analysis languages or tools such as SQL, Python, or R Studio
Industry experience working with UX designers and software engineers to develop highly-usable and performant interfaces
Published research in human-in-the-loop evaluation or data annotation workflows

Responsibilities

Apple is where individual imaginations gather together, committing to the values that lead to great work. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you'll do more than join something - you'll add something.
Imagine what human factors research can do at Apple. At Apple, great ideas quickly become extraordinary user experiences. Are you excited to take on big challenges that create a positive impact for billions of people? Are you passionate about engaging directly with people to research and design elegant Apple experiences?
We are looking for a talented, creative and technical user experience researcher to optimize the design of annotation workflows and analyst tools that contribute to Apple's most strategic AI initiatives.
Our organization is responsible for delivering high-quality, human-annotated, machine learning data at scale for product teams across Apple. We are both an operations team and a trusted partner in the development of Apple's consumer software and hardware experiences. This global data annotation and collection initiative enables Apple to create amazing new experiences and advance flagship experiences like Apple Intelligence and Vision Pro.

View full posting on CareerOneStop → ID: 02f3f23d0284

Research Scientist - Robotics & Physical AI - 3030592

Apex Systems, Inc. · Seattle, WA

Mid-level Doctorate

2026-04-23

WA 2026-04-23

Requirements

*Education: A PhD in Robotics, Materials Science, Chemistry, Chemical Engineering, or a closely related field is required.
*Experience: Demonstrated hands-on research experience with laboratory robotics, automated synthesis, or experimental automation platforms is necessary. Candidates should possess a proven ability to conduct independent research and collaborate across interdisciplinary teams.
*Technical Skills: Strong programming proficiency in Python, C++, or ROS is required. Practical experience with robotic system integration, including sensors, actuators, motion systems, and computer vision, is also required.

Preferred

Experience with high-throughput experimentation or materials characterization techniques.
Familiarity with machine learning or AI-driven experimental design in physical systems.
Prior publication history in robotics, autonomous systems, or materials-focused journals or conferences.

Responsibilities

Research Scientist - Robotics & Physical AI
The Materials Innovation team is seeking a Researcher to advance the frontier of autonomous science for materials discovery. This role is at the intersection of robotics, Physical AI, and materials chemistry, with a focus on developing intelligent, closed-loop laboratory systems that accelerate the discovery, synthesis, and characterization of sustainable materials. This position offers an opportunity to conduct original, publishable research while shaping scalable autonomous laboratory platforms.
Lead original research into autonomous and cooperative robotic systems for materials synthesis and characterization.
Design workflows that integrate robotic manipulation, sensing, and Physical AI models to execute laboratory tasks with minimal human intervention.
Architect and scientifically validate closed-loop systems that couple hypothesis generation, materials synthesis, characterization, and data-driven decision making.
Develop and maintain control software for laboratory automation platforms, leveraging tools such as Python, C++, ROS, or equivalent frameworks.
Contribute to the development and deployment of Vision-Language-Action (VLA) models and related Physical AI approaches for perception, reasoning, and action in laboratory environments.
Integrate robotic hardware, sensors, actuators, and computer vision systems into reliable experimental platforms.
Translate research prototypes into robust, scalable autonomous discovery solutions for integration into end-to-end experimental pipelines.
Collaborate with materials scientists, chemists, and engineers to align system capabilities with scientific objectives.
Author and co-author peer-reviewed publications in top-tier venues.
Contribute to invention disclosures and patent filings where appropriate.

View full posting on CareerOneStop → ID: 430b039f6cbc

Research Scientist, Alexa Devices & Marketing

Amazon · Seattle, WA

Mid-level Doctorate

2026-04-23

WA 2026-04-23

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets

Preferred

Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
Experience with AI/ML technologies

Responsibilities

Work closely with product and marketing teams, as well as fellow researchers, to identify research topics and build a research roadmap; communicate and refresh on a regular basis to ensure relevancy.
Create a deep understanding of customers through descriptive, inferential, and experimental approaches (existing or invented) that you identify as being most effective for answering a given business question.
Design, implement, and analyze data from surveys, randomized experiments, and other large-n data sets.
Work with data engineering and business intelligence teams to triangulate survey data with customer engagement and segmentation data.
Create repeatable and scalable mechanisms to measure key customer metrics that drive product iteration.
Synthesize a wide range of primary and secondary data types leading to focused, insightful, and actionable insights that persuade and inspire partners and leaders to take concerted, informed actions.
Work closely with research peers to promote best practices, build resources, and train team members to enable them to execute their own research projects.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious and earn trust.

View full posting on CareerOneStop → ID: a5e4262a1033

Research Scientist, Alexa Devices & Marketing

Amazon · Bellevue, WA

Mid-level Doctorate

2026-04-23

WA 2026-04-23

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets

Preferred

Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
Experience with AI/ML technologies

Responsibilities

Work closely with product and marketing teams, as well as fellow researchers, to identify research topics and build a research roadmap; communicate and refresh on a regular basis to ensure relevancy.
Create a deep understanding of customers through descriptive, inferential, and experimental approaches (existing or invented) that you identify as being most effective for answering a given business question.
Design, implement, and analyze data from surveys, randomized experiments, and other large-n data sets.
Work with data engineering and business intelligence teams to triangulate survey data with customer engagement and segmentation data.
Create repeatable and scalable mechanisms to measure key customer metrics that drive product iteration.
Synthesize a wide range of primary and secondary data types leading to focused, insightful, and actionable insights that persuade and inspire partners and leaders to take concerted, informed actions.
Work closely with research peers to promote best practices, build resources, and train team members to enable them to execute their own research projects.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious and earn trust.

View full posting on CareerOneStop → ID: 0498f011b918

Staff Research Scientist, AI Agents & LLMs

Snowflake Inc. · Bellevue, WA

Senior Doctorate

2026-04-23

WA 2026-04-23

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collabora

View full posting on CareerOneStop → ID: 627a82da1978

NIAR Research Engineer, Senior - High Temperature Composites and Advanced Materials

Wichita State University · Wichita, KS

Senior

2026-04-23

KS 2026-04-23

View full posting on CareerOneStop → ID: 43a793204fe3

Senior/Principal R&D Computer Scientist - Space Domain Awareness, Colorado Springs, CO, Onsite

Sandia National Laboratories · Albuquerque, NM

Senior

2026-04-21

NM 2026-04-21

View full posting on CareerOneStop → ID: db50e7672e32

Senior Research Scientist

ICON Clinical Research · Lenexa, KS

Senior

2026-04-21

KS 2026-04-21

View full posting on CareerOneStop → ID: 0f3dba42c079

Research Scientist: Specialized in Battery/Electroactive Materials

Pittsburg State University · Pittsburg, KS

Mid-level

2026-04-18

KS 2026-04-18

View full posting on CareerOneStop → ID: 1529c870c2b9

Study Director/Senior Research Scientist

Kelly Services · Iowa City, IA

Director

2026-04-18

IA 2026-04-18

View full posting on CareerOneStop → ID: e6b603970a0a

Audio Research Scientist Intern

Meta · Redmond, WA

Intern Doctorate

2026-04-17

WA 2026-04-17

Requirements

Currently has, or is in the process of obtaining, a PhD and in the field of Hearing Science, Audiology, Neuroscience, Signal Processing or similar or a related field
1+ years of experience designing, conducting, and analyzing audiologic experiments and measurements (e.g. speech in noise performance, PTA, ABR, etc)
1+ years of experience in MATLAB, Python, C/C++, or equivalent programming language
1+ years of experience in binaural rendering, spatial hearing, or signal processing
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Experience in conducting audiologic experiments and measurements (e.g., pure-tone and speech audiometry, otoacoustic emissions (OAE), auditory evoked potentials, real-ear measurements, and psychoacoustic testing)
Experience in real-time audio and audio algorithms development
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at relevant journals or conferences, e.g. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Association for Research in Otolaryngology (ARO), NeurIPS, ICML, IEEE MLSP, Acoustical Society of America (ASA), and Audio Engineering Society (AES)
Intent to return to a degree-program after the completion of the internship/co-op
Experience working and communicating cross functionally in a team environment

Responsibilities

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives.In particular, the Meta Reality Labs Research Audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing. See more about our work here: https://tech.facebook.com/reality-labs/2020/09/inside-facebook-reality-labs-research-the-future-of-audio/. The role requires a background in audiology, hearing science, auditory physiology, neuroscience, or hearing aid / cochlear implant signal processing. Successful candidates will have strong skills in audiology, speech intelligibility assessment and modeling, speech enhancement, and/or machine learning with signal processing. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Design, conduct, and analyze audiologic experiments and measurements, including pure-tone and speech audiometry, otoacoustic emissions, auditory evoked potentials, real-ear measurements, and psychoacoustic testing.
Conduct basic and applied research in hearing science and auditory perception. Focus on enhancing speech intelligibility in noisy environments and developing hearing assistance solutions.
Communication of research agenda, progress, and full analyses of results.
Design and implementation of novel algorithms to solve audio research problems.
Experimental design, implementation, and execution to evaluate new audio technologies.
Collaboration with other researchers across audio and acoustic engineering disciplines.

View full posting on CareerOneStop → ID: fb1d36f13b6f

Senior/Principal, Electrical or Computer Engineer-Embedded Systems, Onsite

Sandia National Laboratories · Albuquerque, NM

Senior

2026-04-17

NM 2026-04-17

View full posting on CareerOneStop → ID: b9736f9a12f7

Research Engineer

GAF · Arkadelphia, AR

Mid-level

2026-04-17

AR 2026-04-17

View full posting on CareerOneStop → ID: 2f123341a4ee

Mid- Level Research Scientist

Leidos · Huntsville, AL

Mid-level

2026-04-17

AL 2026-04-17

View full posting on CareerOneStop → ID: 01a0567f878b

Research - Research Scientist III - 3029442

Apex Systems, Inc. · Redmond, WA

Mid-level Doctorate

2026-04-16

WA 2026-04-16

Requirements

*Education: PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or a relevant technical field.
*Experience: 5-7 years of professional experience. 2+ years of experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, or optoelectronic materials. 2+ years of experience in experimental laboratory work.
*Technical Skills: Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
*Other: Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred

Proven track record of achieving significant results, such as grants, fellowships, patents, or first-authored publications.
Experience with solid-state analysis: e.g., diffuse reflectance, XRD, spectroscopy, DSC, optical microscopy.
Experience with crystallographic software (e.g., CCDC suite, BGMN, Profex, Olex2).
Experience with HPLC, LC-MS, UV/Vis and/or GC.
Experience working and communicating cross-functionally in a team environment.
Experience with crystal growth and related concepts (e.g., supersaturation, nucleation).

Responsibilities

Research Scientist III
This position involves designing, building, and automating an established workflow for the experimental screening of organic materials. This role will streamline data acquisition for the development of novel optoelectronic materials. The successful candidate will collaborate with a research team to understand current goals and develop next-generation materials with an emphasis on advanced design, fabrication, and analysis.
Develop next-generation optoelectronic materials with an emphasis on advanced design, fabrication, and analysis.
Collaborate with the research team to understand current goals, limitations, and bottlenecks in the wider AR/VR space.
Build with and develop an understanding of equipment designed for high-throughput experiments.
Design and automate novel crystal growth, processing, and analysis techniques.
Communicate results internally and with external partners.
Assist in the translation of research results to practical application in product development.

View full posting on CareerOneStop → ID: e5067b170649

Sr. Research Scientist, Community Operations

Amazon · Bellevue, WA

Senior Doctorate

2026-04-15

WA 2026-04-15

Requirements

3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
PhD, or Master's degree and 5+ years of quantitative field research experience
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.)
Knowledge of AWS platforms such as S3, Glue, Athena, Sagemake
Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression)
Experience applying theoretical models in an applied environment

Preferred

Experience converting research studies into tangible real-world changes
Experience with discrete and continuous optimization methodologies and algorithms
Experience applying quantitative analysis to solve business problems and making data-driven business decisions

Responsibilities

Collaborate with operational science teams to integrate community risk signals into existing operational models and decision-making systems, with a focus on quantifying performance lift and defining integration architecture
Design and execute experiments to measure how community-impacting operational policies affect business outcomes
Build automated causal discovery systems leveraging knowledge graphs, LLMs, and document understanding to uncover relationships between operational policies and community outcomes
Design and deploy production ML forecasting systems with extended prediction horizons using multi-modal data sources, including survey-based indices, geospatial risk features, and operational metrics
Mentor junior scientists and contribute to building a research culture that balances high-risk, high-reward innovation with reliable product delivery

View full posting on CareerOneStop → ID: 34585de9f866

Faculty | Computer Engineering

University of Mary · Bismarck, ND

Mid-level

2026-04-15

ND 2026-04-15

View full posting on CareerOneStop → ID: 72339184edc3

AI Research Engineer, Media - Meta Superintelligence Labs

Meta · Bellevue, WA

Mid-level

2026-04-15

WA 2026-04-15

View full posting on CareerOneStop → ID: 6687c3203a1e

Research Engineers ##33001

Wichita State University · Wichita, KS

Mid-level

2026-04-12

KS 2026-04-12

View full posting on CareerOneStop → ID: 3f200f0369f2

Associate Advance Product Development and Research Engineer

Spirit AeroSystems · Wichita, KS

Entry-level

2026-04-11

KS 2026-04-11

View full posting on CareerOneStop → ID: f7d8758d68a4

Associate Advance Product Development and Research Engineer

Spirit AeroSystems · Wichita, KS

Entry-level

2026-04-10

KS 2026-04-10

View full posting on CareerOneStop → ID: 489ab1fb9c52

Computer Engineer, Level 4

ASRC Federal Holding Company · Oklahoma City, OK

Mid-level

2026-04-10

OK 2026-04-10

View full posting on CareerOneStop → ID: 699a0c35ef3a

AI Research Engineer - Social Products (Technical Leadership)

Meta · Bellevue, WA

Senior

2026-04-09

WA 2026-04-09

View full posting on CareerOneStop → ID: 68383ef8367e

Research Engineer Senior

University of Kansas · Lawrence, KS

Senior

2026-04-09

KS 2026-04-09

View full posting on CareerOneStop → ID: 182fae70c510

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Olympia, WA

Senior

2026-04-08

WA 2026-04-08

View full posting on CareerOneStop → ID: efb0c45cc30d

Research Scientist, Integrated Analytics (Temporary)

University of Washington · Olympia, WA

Mid-level

2026-04-08

WA 2026-04-08

View full posting on CareerOneStop → ID: 690230fde97a

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Boise, ID

Senior

2026-04-08

ID 2026-04-08

View full posting on CareerOneStop → ID: ffd2aafc8b0a

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Salem, OR

Senior

2026-04-08

OR 2026-04-08

View full posting on CareerOneStop → ID: 67c7695c27ef

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Helena, MT

Senior

2026-04-08

MT 2026-04-08

View full posting on CareerOneStop → ID: e6fff7ca09b8

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Cheyenne, WY

Senior

2026-04-08

WY 2026-04-08

View full posting on CareerOneStop → ID: 02d9da19ab01

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Carson City, NV

Senior

2026-04-08

NV 2026-04-08

View full posting on CareerOneStop → ID: 75cec629039d

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Bismarck, ND

Senior

2026-04-08

ND 2026-04-08

View full posting on CareerOneStop → ID: 71afef71dce8

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Pierre, SD

Senior

2026-04-08

SD 2026-04-08

View full posting on CareerOneStop → ID: 1deb980c1609

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Santa Fe, NM

Senior

2026-04-08

NM 2026-04-08

View full posting on CareerOneStop → ID: c464dcdab88f

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Lincoln, NE

Senior

2026-04-08

NE 2026-04-08

View full posting on CareerOneStop → ID: e5cf535af70e

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Topeka, KS

Senior

2026-04-08

KS 2026-04-08

View full posting on CareerOneStop → ID: ed8b0b87d775

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Oklahoma City, OK

Senior

2026-04-08

OK 2026-04-08

View full posting on CareerOneStop → ID: 7da2f4cf3c02

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Little Rock, AR

Senior

2026-04-08

AR 2026-04-08

View full posting on CareerOneStop → ID: 0b31cdd6d6ed

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Baton Rouge, LA

Senior

2026-04-08

LA 2026-04-08

View full posting on CareerOneStop → ID: 4c0061ba72fc

Lead UI/UX Design & Research Engineer (Remote)

GovCIO · Jackson, MS

Senior

2026-04-08

MS 2026-04-08

View full posting on CareerOneStop → ID: 33b6227b59db

Experienced Product Development & Research Engineer

Spirit AeroSystems · Wichita, KS

Senior

2026-04-07

KS 2026-04-07

View full posting on CareerOneStop → ID: 2c49c40c8be4

Research Engineer, MRS AI

Meta · Bellevue, WA

Mid-level Doctorate

2026-04-03

WA 2026-04-03

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Research experience in machine learning, deep learning, and/or recommender systems, natural language processing
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Exposure to architectural patterns of large scale software applications

Preferred

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A PhD in AI, computer science, data science, or related technical fields
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, RecSys, SIGIR, KDD, WSDM, TheWebConf, ICDM, ACL, EMNLP, NAACL, AAAI, ICCV, CVPR)
Direct experience in generative AI, LLMs, RecSys, ML research
Experience with developing large-scale machine learning models from inception to business impact

Responsibilities

Meta is seeking a Research Engineer to join our Meta Recommendation Systems (MRS) AI Algorithm Team. Join us to build Meta's User Intelligence Engine - a unified platform that models who the user is, what they need, and why they act by integrating state, representation, reasoning, and multi-architecture modeling to power Meta's Recommendation System with personalized, context-aware experiences across the ecosystem.We're bringing together two powerhouses:- Generative AI/LLMs for semantic understanding and reasoning- Meta's world-class ads & organic ranking expertise for optimized decision-making at scaleAs part of a rapidly growing ML team, you'll shape the next generation of User Understanding models and Meta Recommendation Systems, delivering personalization that feels intuitive, adaptive, and truly human.
Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning
Design and implement generative modeling solutions for data augmentation
Develop and deploy machine learning pipelines
Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

View full posting on CareerOneStop → ID: dd33f64d13c0

Systems Research Engineer/Scientist

Intel · Hillsboro, OR

Mid-level

2026-04-02

WA 2026-04-02

View full posting on CareerOneStop → ID: a13cd7230d15

Network & Supply Chain Research Scientist (5671)

Three Saints Bay · Vicksburg, MS

Mid-level

2026-04-01

MS 2026-04-01

View full posting on CareerOneStop → ID: acdb4c41b8c0

Research Scientist - Complex Systems & Network Modeling (5673)

Three Saints Bay · Vicksburg, MS

Mid-level

2026-04-01

MS 2026-04-01

View full posting on CareerOneStop → ID: da7fbca46a21

AI Research Engineer

Meta · Bellevue, WA

Mid-level

2026-03-31

WA 2026-03-31

View full posting on CareerOneStop → ID: 53134750c166

Research Engineer, Monetization AI

Meta · Redmond, WA

Mid-level

2026-03-31

WA 2026-03-31

View full posting on CareerOneStop → ID: 485d46349414

Research Scientist, Sensor and Systems Robotics (PhD)

Meta · Redmond, WA

Mid-level

2026-03-29

WA 2026-03-29

View full posting on CareerOneStop → ID: 71007eacf624

Research Scientist Intern, Applied Vision in Augmented Reality (PhD)

Meta · Redmond, WA

Intern

2026-03-19

WA 2026-03-19

View full posting on CareerOneStop → ID: 6f889839b091

Research Scientist/Computational Physicist

Leidos · Albuquerque, NM

Mid-level

2026-03-19

NM 2026-03-19

View full posting on CareerOneStop → ID: befbce89ea7b

AI Research Scientist - FAIR Social Intelligence

Meta · Bellevue, WA

Mid-level

2026-03-18

WA 2026-03-18

View full posting on CareerOneStop → ID: 568a11631e21

Research Engineer II - AI for Building Energy Systems

Pacific Northwest National Laboratory · Richland, WA

Mid-level

2026-03-18

WA 2026-03-18

View full posting on CareerOneStop → ID: 3844dade78dd

Research Engineer III - AI for Building Energy Systems

Pacific Northwest National Laboratory · Richland, WA

Mid-level

2026-03-18

WA 2026-03-18

View full posting on CareerOneStop → ID: c15883ba3f25

Research Engineer II - AI for Building Energy Systems

Pacific Northwest National Laboratory · Portland, OR

Mid-level

2026-03-18

WA 2026-03-18

View full posting on CareerOneStop → ID: 9b542364382c

Research Engineer III - AI for Building Energy Systems

Pacific Northwest National Laboratory · Portland, OR

Mid-level

2026-03-18

WA 2026-03-18

View full posting on CareerOneStop → ID: 3603a5d8d637

AI Research Scientist, Robotics

Meta · Redmond, WA

Mid-level

2026-03-14

WA 2026-03-14

View full posting on CareerOneStop → ID: 07e322325b65

Research Engineer, Monetization AI

Meta · Bellevue, WA

Mid-level

2026-03-10

WA 2026-03-10

View full posting on CareerOneStop → ID: f63657ec0c72

Research Scientist, Multimodal Alignment, Safety, and Fairness

Google · Kirkland, WA

Mid-level

2026-03-10

WA 2026-03-10

View full posting on CareerOneStop → ID: 22ac42a8b247

Research Scientist

The Henry M. Jackson Foundation · Tacoma, WA

Mid-level

2026-03-08

WA 2026-03-08

View full posting on CareerOneStop → ID: e7f5fd5b50da

Senior Research Scientist

ICON Clinical Research · Portland, OR

Senior

2026-03-05

WA 2026-03-05

View full posting on CareerOneStop → ID: 92b79dbaf891

Research Scientist Intern, Applied Vision and Image Quality (PhD)

Meta · Redmond, WA

Intern

2026-03-04

WA 2026-03-04

View full posting on CareerOneStop → ID: c4b0829cddbf

AI Research Scientist, CoreML - Monetization AI

Meta · Bellevue, WA

Mid-level

2026-02-28

WA 2026-02-28

View full posting on CareerOneStop → ID: a3bf3e3e294a

Information Technology Specialist

Porcupine Contract School · Porcupine, SD

Mid-level

2026-02-28

SD 2026-02-28

View full posting on CareerOneStop → ID: aa4864b5e5ed

Research Engineer, Multimodal Generative AI (Image/Video)

Google · Kirkland, WA

Mid-level

2026-02-25

WA 2026-02-25

View full posting on CareerOneStop → ID: 16ba5aaa653e

Senior Research Scientist- RWE/Harm Reduction

Oracle · Olympia, WA

Senior

2026-02-22

WA 2026-02-22

View full posting on CareerOneStop → ID: 6264532e3094

Senior Research Scientist- RWE/Harm Reduction

Oracle · Boise, ID

Senior

2026-02-22

ID 2026-02-22

View full posting on CareerOneStop → ID: bee67649651a

Senior Research Scientist- RWE/Harm Reduction

Oracle · Salem, OR

Senior

2026-02-22

OR 2026-02-22

View full posting on CareerOneStop → ID: 1e04dd68f7d2

Senior Research Scientist- RWE/Harm Reduction

Oracle · Helena, MT

Senior

2026-02-22

MT 2026-02-22

View full posting on CareerOneStop → ID: a6fe149828c3

Senior Research Scientist- RWE/Harm Reduction

Oracle · Cheyenne, WY

Senior

2026-02-22

WY 2026-02-22

View full posting on CareerOneStop → ID: 427b6f8ddbfa

Senior Research Scientist- RWE/Harm Reduction

Oracle · Bismarck, ND

Senior

2026-02-22

ND 2026-02-22

View full posting on CareerOneStop → ID: 9fc143784270

Senior Research Scientist- RWE/Harm Reduction

Oracle · Pierre, SD

Senior

2026-02-22

SD 2026-02-22

View full posting on CareerOneStop → ID: c92dd8b5c7a8

Senior Research Scientist- RWE/Harm Reduction

Oracle · Santa Fe, NM

Senior

2026-02-22

NM 2026-02-22

View full posting on CareerOneStop → ID: 78f1b270c40d

Senior Research Scientist- RWE/Harm Reduction

Oracle · Lincoln, NE

Senior

2026-02-22

NE 2026-02-22

View full posting on CareerOneStop → ID: 604a51c645b5

Shock Physics Research Scientist (Scientist 2)

Los Alamos National Laboratory · Los Alamos, NM

Mid-level

2026-02-20

NM 2026-02-20

View full posting on CareerOneStop → ID: ca911ecb2b1f

Senior Research Engineer

Microsoft Corporation · Redmond, WA

Senior

2026-02-19

WA 2026-02-19

View full posting on CareerOneStop → ID: c1b5e44e650a

Research Scientist Intern, Applied Perception Science (PhD)

Meta · Redmond, WA

Intern

2026-02-18

WA 2026-02-18

View full posting on CareerOneStop → ID: 41d8bbe695d4

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Olympia, WA

Senior

2026-02-14

WA 2026-02-14

View full posting on CareerOneStop → ID: 59b87acf7094

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Boise, ID

Senior

2026-02-14

ID 2026-02-14

View full posting on CareerOneStop → ID: d7f21aee9243

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Salem, OR

Senior

2026-02-14

OR 2026-02-14

View full posting on CareerOneStop → ID: cdac60e16ab8

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Helena, MT

Senior

2026-02-14

MT 2026-02-14

View full posting on CareerOneStop → ID: d1adabc3e4d3

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Cheyenne, WY

Senior

2026-02-14

WY 2026-02-14

View full posting on CareerOneStop → ID: c7bd89dac954

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Bismarck, ND

Senior

2026-02-14

ND 2026-02-14

View full posting on CareerOneStop → ID: ca4bfa5ae81c

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Pierre, SD

Senior

2026-02-14

SD 2026-02-14

View full posting on CareerOneStop → ID: 1047ca1d5169

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Santa Fe, NM

Senior

2026-02-14

NM 2026-02-14

View full posting on CareerOneStop → ID: 98f6f1a6439e

Principal Research Engineer - Grid Modeling

Pacific Northwest National Laboratory · Lincoln, NE

Senior

2026-02-14

NE 2026-02-14

View full posting on CareerOneStop → ID: 751a5df2939d

Research Scientist - Analytics

Avera · Sioux Falls, SD

Mid-level

2026-02-13

SD 2026-02-13

View full posting on CareerOneStop → ID: d1fc6e59d9a5

Applied Research Scientist

St. Luke's Health System · Boise, ID

Mid-level

2026-02-12

ID 2026-02-12

View full posting on CareerOneStop → ID: e69f26a628dc

Research Engineer, Monetization AI

Meta · Bellevue, WA

Mid-level

2026-02-05

WA 2026-02-05

View full posting on CareerOneStop → ID: 6e886c6fca10

AI Research Scientist, Text Data Research - MSL FAIR

Meta · Bellevue, WA

Mid-level

2026-01-30

WA 2026-01-30

View full posting on CareerOneStop → ID: 96473250fbb9

Computer Engineer Post-Bachelor

Los Alamos National Laboratory · Los Alamos, NM

Mid-level

2026-01-30

NM 2026-01-30

View full posting on CareerOneStop → ID: 0c793890a5b2

New College Grad - CAD/Computer Engineer, Central Engineering

Micron Technology, Inc. · Boise, ID

Mid-level

2026-01-20

ID 2026-01-20

View full posting on CareerOneStop → ID: 646a4130f3ba

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Olympia, WA

Mid-level

2026-01-13

WA 2026-01-13

View full posting on CareerOneStop → ID: 59f07143f878

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Boise, ID

Mid-level

2026-01-13

ID 2026-01-13

View full posting on CareerOneStop → ID: 2986d13e72da

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Salem, OR

Mid-level

2026-01-13

OR 2026-01-13

View full posting on CareerOneStop → ID: 688d82ccd909

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Helena, MT

Mid-level

2026-01-13

MT 2026-01-13

View full posting on CareerOneStop → ID: 5456fe9e1eaf

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Cheyenne, WY

Mid-level

2026-01-13

WY 2026-01-13

View full posting on CareerOneStop → ID: 1b39588681ac

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Bismarck, ND

Mid-level

2026-01-13

ND 2026-01-13

View full posting on CareerOneStop → ID: 44521e278739

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Pierre, SD

Mid-level

2026-01-13

SD 2026-01-13

View full posting on CareerOneStop → ID: 66552779011c

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Santa Fe, NM

Mid-level

2026-01-13

NM 2026-01-13

View full posting on CareerOneStop → ID: faeae8a2a411

Power Systems Research Engineer - Energy Infrastructure Modeling

Pacific Northwest National Laboratory · Lincoln, NE

Mid-level

2026-01-13

NE 2026-01-13

View full posting on CareerOneStop → ID: 6ffce4e95de0

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Olympia, WA

Mid-level

2026-01-10

WA 2026-01-10

View full posting on CareerOneStop → ID: 5a25a02f2658

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Boise, ID

Mid-level

2026-01-10

ID 2026-01-10

View full posting on CareerOneStop → ID: 468a4840c373

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Salem, OR

Mid-level

2026-01-10

OR 2026-01-10

View full posting on CareerOneStop → ID: c7ad2f311d05

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Helena, MT

Mid-level

2026-01-10

MT 2026-01-10

View full posting on CareerOneStop → ID: acb2641d26fd

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Cheyenne, WY

Mid-level

2026-01-10

WY 2026-01-10

View full posting on CareerOneStop → ID: 01a68395b654

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Bismarck, ND

Mid-level

2026-01-10

ND 2026-01-10

View full posting on CareerOneStop → ID: bd868be4799f

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Pierre, SD

Mid-level

2026-01-10

SD 2026-01-10

View full posting on CareerOneStop → ID: 5d873d856931

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Santa Fe, NM

Mid-level

2026-01-10

NM 2026-01-10

View full posting on CareerOneStop → ID: dc312a7ef51e

Power Systems Research Engineer - Grid Modeling & Planning

Pacific Northwest National Laboratory · Lincoln, NE

Mid-level

2026-01-10

NE 2026-01-10

View full posting on CareerOneStop → ID: 33ea102dbd8f

AI Research Scientist, CoreML - Monetization

Meta · Bellevue, WA

Mid-level

2026-01-09

WA 2026-01-09

View full posting on CareerOneStop → ID: 41817b6e99c9

Electrical & Computer Engineering Non-Tenure Track Faculty (Applicant Pool)

Montana State University · Bozeman, MT

Mid-level

2026-01-08

MT 2026-01-08

View full posting on CareerOneStop → ID: f4d047a9cda9

AI Research Scientist, Robotics

Meta · Redmond, WA

Mid-level

2025-12-20

WA 2025-12-20

View full posting on CareerOneStop → ID: 5a82df468aca

Research Scientist Intern PhD, Applied Research

Meta · Bellevue, WA

Intern

2025-12-20

WA 2025-12-20

View full posting on CareerOneStop → ID: 9ab9b7737642

Principal Research Engineer - Generative AI - AI Frontiers

Microsoft Corporation · Redmond, WA

Senior

2025-12-14

WA 2025-12-14

View full posting on CareerOneStop → ID: f858187ef6db

Research Engineer - Generative AI - AI Frontiers

Microsoft Corporation · Redmond, WA

Mid-level

2025-11-27

WA 2025-11-27

View full posting on CareerOneStop → ID: 314bb058dced

Senior Quantum Error Correction Research Scientist, Applied Research

NVIDIA · Redmond, WA

Senior

2025-11-15

WA 2025-11-15

View full posting on CareerOneStop → ID: dbd099c5ef43

Electrical and Computer Engineering - Non-Tenure Track Faculty Vacancy Pool

Western Washington University · Bellingham, WA

Mid-level

2025-11-14

WA 2025-11-14

View full posting on CareerOneStop → ID: 20030bf8cd73

Research Scientist Intern, Silicon Performance Architecture (PhD)

Meta · Redmond, WA

Intern

2025-11-01

WA 2025-11-01

View full posting on CareerOneStop → ID: 716ea002f170

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta · Bellevue, WA

Intern

2025-10-30

WA 2025-10-30

View full posting on CareerOneStop → ID: 8d72f8d8dca7

Research Scientist Intern, AI Alignment

Meta · Bellevue, WA

Intern

2025-10-08

WA 2025-10-08

View full posting on CareerOneStop → ID: 339056db01a7

Research Scientist Intern, Photorealistic Telepresence (PhD)

Meta · Redmond, WA

Intern

2025-09-16

WA 2025-09-16

View full posting on CareerOneStop → ID: 4d8174eef120

Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

Meta · Redmond, WA

Intern

2025-09-04

WA 2025-09-04

View full posting on CareerOneStop → ID: dbfb24e4a336

Research Scientist Intern, Robotic Control Policy (PhD)

Meta · Redmond, WA

Intern

2025-08-29

WA 2025-08-29

View full posting on CareerOneStop → ID: 1b35514e05d6

Research Engineer, Monetization AI

Meta · Bellevue, WA

Mid-level

2025-08-27

WA 2025-08-27

View full posting on CareerOneStop → ID: ffe12ca15200

AI Research Scientist, Robotics

Meta · Redmond, WA

Mid-level

2025-08-21

WA 2025-08-21

View full posting on CareerOneStop → ID: 485b8cec7d96

AI Research Scientist, VLM (vision language models)

Meta · Bellevue, WA

Mid-level

2025-07-08

WA 2025-07-08

View full posting on CareerOneStop → ID: 1a5d2b584e65

Hardware Research Engineer: Meta Robotics Studio

Meta · Redmond, WA

Mid-level

2025-06-05

WA 2025-06-05

View full posting on CareerOneStop → ID: d79db7e6dc8a

AI Research Scientist, CoreML - Monetization AI

Meta · Bellevue, WA

Mid-level

2025-04-09

WA 2025-04-09

View full posting on CareerOneStop → ID: e8b8bce18d47