Machine Learning Research Jobs in Washington
Machine Learning Research jobs in Washington are concentrated in Seattle, Bellevue, and Redmond, where Microsoft, Amazon, and the Allen Institute for AI anchor a research ecosystem that consistently draws global talent. Demand is highest for researchers specializing in large language models, computer vision, and reinforcement learning, with openings ranging from doctoral-level research scientists to senior principal researchers. Washington is among the most active markets in the country for this discipline, with lab-scale and applied research roles posted throughout the year. Find a role that fits below and apply directly.
Find JobsOverview
Open roles14
Top employerApple
Top citySeattle, WA
Cities hiring3
Work type100% On-site
Top industryTechnology
Showing 5 of 14+ Machine Learning Research jobs
Research Scientist, Machine Learning
We won't show you this job again
New 22h ago
Meta
Research Scientist, Machine Learning
Seattle, Washington
New 22h ago
Research Scientist, Machine Learning
We won't show you this job again
New 22h ago
Meta
Research Scientist, Machine Learning
Bellevue, Washington
New 22h ago
Research Engineer — Training Performance & ML Compilation (Torch Compile) - Seed Infra
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Added 1w ago
ByteDance
Research Engineer — Training Performance & ML Compilation (Torch Compile) - Seed Infra
Seattle, Washington
Added 1w 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
New 22h 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
New 22h 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 14 Machine Learning Research Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find JobsMachine Learning Research Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Machine Learning Research Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Artificial Intelligence
- Construction & Real Estate
- Banking & Financial Services
What Washington Employers Look For
The qualifications that appear most often in machine learning research jobs across Washington.
- PhD in computer science, machine learning, statistics, or a closely related field
- Demonstrated record of publication in top-tier ML venues such as NeurIPS, ICML, or ICLR
- Deep proficiency in PyTorch or TensorFlow and large-scale distributed training
- Experience designing and executing original research with measurable real-world impact
- Strong programming skills in Python with familiarity in systems-level languages like C++
- Ability to collaborate across research and product engineering teams on applied problems
Machine Learning Research Jobs in Washington: Frequently Asked Questions
How do you become a machine learning research in Washington?
Machine learning research positions in Washington do not require a state-issued license or certification. The standard path is a PhD in computer science, machine learning, artificial intelligence, or statistics, combined with a research portfolio including peer-reviewed publications. Candidates with a master's degree and strong publication records or industry research experience are considered for some roles. Washington's dense concentration of research labs and tech headquarters means hiring is competitive, with demonstrated original research output carrying the most weight.
Which companies hire machine learning researchs in Washington?
Washington machine learning research roles are posted by Apple, Scale AI, and Meta and others right now, based on current listings on Migrate Mate as of September 2026. Washington's research hiring is driven by a mix of large tech headquarters, dedicated AI research institutes, and well-funded startups, most of them concentrated in the greater Seattle area.
Which Washington cities have the most machine learning research jobs?
Seattle, Redmond, and Bellevue account for the largest share of machine learning research openings in Washington. Seattle dominates because it is home to major tech headquarters and the Allen Institute for AI, while Bellevue and Redmond draw volume from Microsoft's main campus and the broader Eastside corridor where many applied research teams are based.
Are there remote machine learning research jobs in Washington?
Yes, and more than most fields. About 0% of machine learning research openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of the work centers on modeling, experimentation, and writing rather than on-site lab access. Fully remote arrangements are most common for senior researchers with established publication records, while roles requiring GPU cluster access or close team collaboration tend to be hybrid.
How can I get hired as a machine learning research in Washington with little or no experience?
The most realistic entry path is a research internship during a PhD program, since Microsoft Research, Amazon Science, and the Allen Institute for AI all run structured research intern programs that frequently convert to full-time offers. Candidates without a doctorate can target research engineer or applied scientist roles, which bridge engineering and research and often require only a master's degree. Building a public portfolio of reproducible experiments, contributing to open-source ML frameworks, and co-authoring a preprint on a competitive benchmark all meaningfully strengthen a Washington application at the entry level.
Where can I find and apply to machine learning research jobs in Washington?
You can find and apply to machine learning research jobs in Washington on Migrate Mate, which lists current Washington openings across research labs, tech companies, and AI institutes in the state. Find the roles that fit your background and apply directly.
See All 14 Machine Learning Research Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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