Jobs — Information Security Engineers

AI Research Scientist, VLM (vision language models) Meta · Bellevue, WA Mid-level 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.

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2026-06-04

Research Engineer 2 - Hardware and Software Design (Temporary) University of Washington · Seattle, WA Mid-level Bachelor's 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.

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2026-06-04

Research Scientist, Google Research, GenAI, Experiences Google · Kirkland, WA Mid-level Doctorate 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) .

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2026-06-04

Research Scientist, Google Research, GenAI, Experiences Google · Seattle, WA Mid-level Doctorate 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) .

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2026-06-04

Research Scientist, Special Projects Amazon · Seattle, WA Mid-level Doctorate 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

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2026-06-04

Temporary Research Scientist Engineer 1 University of Washington · Seattle, WA Mid-level Bachelor's 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.

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2026-06-04

Research Scientist III- #26-12768 US Tech Solutions · Redmond, WA Mid-level Doctorate 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.

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2026-06-03

Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Meta · Seattle, WA Senior 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.

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2026-06-03

Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Meta · Bellevue, WA Senior Doctorate 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.

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2026-06-03

Research Scientist, Private Brands Intelligence - SCIT Science Amazon · Seattle, WA Mid-level Doctorate 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

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2026-06-03

Research Scientist/Engineer 2 University of Washington · Seattle, WA Mid-level Doctorate 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.

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2026-06-03

Research Scientist/Engineer 3 University of Washington · Seattle, WA Mid-level Doctorate 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.

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2026-06-03

Research Scientist Manager 2 Northrop Grumman · Corinne, UT Manager Doctorate 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)

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2026-06-03

Data Research Engineer Microsoft Corporation · Redmond, WA Mid-level Master's 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)

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2026-06-03

Research Scientist/Engineer 4 University of Washington · Seattle, WA Mid-level Doctorate 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

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2026-06-02

Research Scientist/Engineer - Photoshop Adobe Inc. · Seattle, WA Mid-level Doctorate 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.

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2026-06-01

Computer Engineer, CE Micron Technology, Inc. · Boise, ID Mid-level Bachelor's 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

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2026-05-31

Research Scientist/Engineer 1 University of Washington · Seattle, WA Mid-level Bachelor's 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

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2026-05-30

Research Scientist/Engineer 2 University of Washington · Seattle, WA Mid-level Doctorate 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.

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2026-05-30

Staff Research Scientist, AI2 Research Google · Seattle, WA Senior Doctorate 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) .

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2026-05-30

Information Security Engineers

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