ML Research Engineer Jobs in Washington
ML Research Engineer jobs in Washington rank among the most active in the country, concentrated in artificial intelligence, cloud infrastructure, and autonomous systems across employers at every level from recent PhD graduates through principal researchers. Seattle and Redmond anchor the market, with Bellevue growing steadily, and established names like Microsoft, Amazon, and Google maintain large research divisions in the region. The most in-demand specializations are large language model development, reinforcement learning, and applied ML for computer vision and natural language processing. Find a role that fits below and apply directly.
Find ML Research Engineer JobsOverview
Open roles13
Top employerApple
Top citySeattle, WA
Cities hiring2
Work type100% On-site
Top industryElectronics
Showing 5 of 13+ ML Research Engineer jobs
Research Scientist, Machine Learning
We won't show you this job again
Added 1d ago
Meta
Research Scientist, Machine Learning
Seattle, Washington
Added 1d ago
Research Scientist, Machine Learning
We won't show you this job again
Added 1d ago
Meta
Research Scientist, Machine Learning
Bellevue, Washington
Added 1d ago
Research Engineer — Training Performance & ML Compilation (Torch Compile) - Seed Infra
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Added 2w ago
ByteDance
Research Engineer — Training Performance & ML Compilation (Torch Compile) - Seed Infra
Seattle, Washington
Added 2w ago
AIML - Sr Machine Learning Research Scientist, Data and ML Innovation
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Added 2w ago
Apple
AIML - Sr Machine Learning Research Scientist, Data and ML Innovation
Seattle, Washington
Added 2w ago
Machine Learning Research Scientist
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Added 3w ago
Scale AI
Machine Learning Research Scientist
Seattle, Washington
Added 3w ago
Added 1d ago
Research Scientist, Machine Learning
Meta·Seattle, Washington
Job functions:
$122k - $181k/yr
Doctoral degree in statistics
10,000+ employees
Job Description
Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling, optimization, and large-scale model architectures. You will collaborate closely with researchers and engineers across the organization to translate novel findings into real-world impact, publish at top-tier venues, and help shape the direction of machine learning research at Meta.
Research Scientist, Machine Learning Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Research Scientist, Machine Learning Responsibilities:
- Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures
- Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights
- Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners
- Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments
- Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues
- Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale
- Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness
- Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases
- Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related technical field. Degree must be completed prior to joining Meta
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- 2+ years of research experience in machine learning, including designing and implementing novel algorithms using deep learning frameworks such as PyTorch or TensorFlow
- 2+ years of experience with Python or C++ for research and systems development in machine learning contexts
- Experience conducting experiments to validate research hypotheses and communicating findings through written papers, technical reports, or presentations
Preferred Qualifications:
- Demonstrated software engineering experience through open-source contributions, research internships, or widely adopted research implementations
- Experience manipulating and analyzing large-scale, high-dimensional datasets for model training and evaluation
- Research experience in one or more specialized areas including large language models, self-supervised learning, reinforcement learning, causal inference, graph neural networks, or ML systems and hardware-software co-design
- Proven research contributions demonstrated by first-authored publications at leading venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, or similar conferences
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta
Research Scientist, Machine Learning
Seattle, Washington
Added 1d ago10,000+ employees
Job functions:
$122k - $181k/yr
Doctoral degree in statistics
Job Description
Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling, optimization, and large-scale model architectures. You will collaborate closely with researchers and engineers across the organization to translate novel findings into real-world impact, publish at top-tier venues, and help shape the direction of machine learning research at Meta.
Research Scientist, Machine Learning Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Research Scientist, Machine Learning Responsibilities:
- Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures
- Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights
- Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners
- Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments
- Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues
- Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale
- Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness
- Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases
- Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related technical field. Degree must be completed prior to joining Meta
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- 2+ years of research experience in machine learning, including designing and implementing novel algorithms using deep learning frameworks such as PyTorch or TensorFlow
- 2+ years of experience with Python or C++ for research and systems development in machine learning contexts
- Experience conducting experiments to validate research hypotheses and communicating findings through written papers, technical reports, or presentations
Preferred Qualifications:
- Demonstrated software engineering experience through open-source contributions, research internships, or widely adopted research implementations
- Experience manipulating and analyzing large-scale, high-dimensional datasets for model training and evaluation
- Research experience in one or more specialized areas including large language models, self-supervised learning, reinforcement learning, causal inference, graph neural networks, or ML systems and hardware-software co-design
- Proven research contributions demonstrated by first-authored publications at leading venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, or similar conferences
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See All 13 ML Research Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find ML Research Engineer JobsML Research Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Bellevue
1 jobML Research Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Electronics & Hardware
- Technology & Software
- Artificial Intelligence
- Construction & Real Estate
- Banking & Financial Services
What Washington Employers Look For
The qualifications that appear most often in ML research engineer jobs across Washington.
- PhD or Master's degree in machine learning, computer science, or a closely related field
- Proven experience designing and training large-scale deep learning models end to end
- Proficiency in Python and frameworks such as PyTorch or TensorFlow for research workflows
- Strong publication record or equivalent demonstrated research contributions in ML
- Experience with distributed training infrastructure and cloud platforms such as AWS or Azure
- Ability to collaborate across applied science, engineering, and product teams on research projects
ML Research Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ml research engineer in Washington?
ML research engineer roles in Washington do not require a state-issued license or registration. The standard path is a Master's or PhD in machine learning, computer science, statistics, or a related field, followed by demonstrated research experience through publications, open-source contributions, or internships. Washington's concentration of large tech research labs means candidates who have completed graduate research with industry relevance, particularly in deep learning or applied AI, are well positioned to enter the market.
Which companies hire ml research engineers in Washington?
Employers hiring ml research engineers in Washington right now include Apple, Scale AI, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's density of established technology headquarters and cloud computing divisions means research engineering roles appear across both large platform companies and specialized AI-focused teams within those organizations.
Which Washington cities have the most ml research engineer jobs?
Seattle and Bellevue have the most ml research engineer openings in Washington. Seattle drives the largest share because it is home to the headquarters and major research campuses of Amazon and Google, while Redmond hosts Microsoft's core AI and cloud research divisions, and Bellevue has grown as a secondary tech hub as those same companies expand their footprints across the Eastside corridor.
Are there remote ml research engineer jobs in Washington?
Yes, and more than most fields. About 0% of ml research engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting the desk-based and computation-driven nature of the work. Research and modeling tasks that rely on cloud infrastructure and collaborative codebases tend to be the most remote-friendly, while roles requiring close collaboration with hardware or robotics teams are more likely to require on-site presence.
How can I get hired as a ml research engineer in Washington with little or no experience?
The most realistic entry path is a research internship or residency program at one of Washington's major tech employers, with Microsoft Research, Amazon Science, and Google Research all running structured programs for graduate students and recent graduates. Candidates without formal experience can also transition from adjacent roles such as data scientist, software engineer with ML exposure, or research assistant. Building a public portfolio of reproducible experiments and contributing to open-source ML projects signals research readiness to Washington hiring teams.
Where can I find and apply to ml research engineer jobs in Washington?
You can find and apply to ml research engineer jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the listings to find roles that match your background and apply directly to the ones that fit.
See All 13 ML Research Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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