Jobs — Computer Occupations, All Other

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

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

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

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

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

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

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

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

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

Senior Advanced AI Research Engineer

Accenture · Beaverton, OR

Senior

2026-05-14

WA 2026-05-14

View full posting on CareerOneStop → ID: 5c3f7343641a

Senior Research Engineer, Generative Prototyping

Adobe Inc. · Seattle, WA

Senior

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: e545a4ebc002

Senior Research Scientist

MongoDB · Palo Alto, CA

Senior

2026-05-12

CA 2026-05-12

View full posting on CareerOneStop → ID: b3f360e234d6

Senior Principal Research Scientist

AbbVie · North Chicago, IL

Senior

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: 237b4193c3d6

Senior Cybersecurity Research Scientist

Maximus · San Antonio, TX

Senior

2026-05-11

TX 2026-05-11

View full posting on CareerOneStop → ID: ccf56d7708b5

Senior Research Scientist

University of Colorado · Aurora, CO

Senior

2026-05-08

CO 2026-05-08

View full posting on CareerOneStop → ID: 831032105514

Principal Research Scientist I

AbbVie · North Chicago, IL

Senior

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: d6531431597c

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

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

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

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

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

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

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

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