Machine Learning Scientist Jobs in Washington
Machine Learning Scientist jobs in Washington are among the most active in the country, concentrated in cloud computing, autonomous systems, healthcare AI, and enterprise software, with openings ranging from entry-level research roles through principal and staff scientist positions. Seattle anchors most of the hiring, with Bellevue and Redmond close behind, and employers like Amazon, Microsoft, and the Allen Institute for AI represent some of the most established and consistent sources of demand in the state. The most sought-after specializations include large language model development, computer vision, and applied reinforcement learning. Find a role that fits below and apply directly.
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Showing 5 of 21+ Machine Learning Scientist jobs
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 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.
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 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 21 Machine Learning Scientist Jobs in Washington
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Find JobsMachine Learning Scientist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Machine Learning Scientist 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
- Retail
- Fintech
- Banking & Financial Services
What Washington Employers Look For
The qualifications that appear most often in machine learning scientist jobs across Washington.
- Master's or PhD in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience designing and deploying production-grade ML models at scale
- Strong background in deep learning, NLP, or computer vision relevant to Washington employer focus areas
- Familiarity with cloud ML platforms, particularly AWS or Azure given Washington's cloud industry concentration
- Ability to collaborate cross-functionally with engineering, product, and research teams
Machine Learning Scientist Jobs in Washington: Frequently Asked Questions
How do you become a machine learning scientist in Washington?
Machine learning scientist roles in Washington do not require a state-issued license or certification. Most Washington employers expect at minimum a master's degree in computer science, mathematics, statistics, or a related field, with a PhD preferred for research-focused positions. Candidates build their path through academic research, published work, or open-source contributions, then target roles at Washington's large technology and research employers. A strong portfolio of end-to-end ML projects carries significant weight in this market.
How much do machine learning scientists make in Washington?
Machine learning scientists in Washington earn a median of about $163,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,930 for the lowest 10% to over $220,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning scientists in Washington?
Employers hiring machine learning scientists in Washington right now include Apple, TikTok, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's concentration of global technology headquarters and applied research institutions makes it one of the few states where both industry and nonprofit research roles are available simultaneously.
Which Washington cities have the most machine learning scientist jobs?
Seattle, Bellevue, and Redmond account for the largest share of machine learning scientist openings in Washington. Seattle drives the majority of demand as home to major technology headquarters and a dense cluster of AI-focused startups, while Bellevue and Redmond attract significant hiring from enterprise software and cloud platform divisions operating out of the Eastside corridor.
Are there remote machine learning scientist jobs in Washington?
Yes, and more than most fields. About 38% of machine learning scientist openings tied to Washington are remote or hybrid as of September 2026, reflecting the desk-based and collaborative-but-async nature of research and modeling work. The parts of the role most likely to be fully remote are model development, experimentation, and literature review, while on-site expectations typically apply to team integration phases and large-scale infrastructure work.
How can I get hired as a machine learning scientist in Washington with little or no experience?
The most realistic entry path is through a research internship or new-graduate program at one of Washington's large technology employers. Amazon, Microsoft, and the Allen Institute for AI all run structured research intern and new-grad pipelines that regularly convert to full-time roles. Candidates coming from adjacent positions such as data scientist, ML engineer, or quantitative analyst can move laterally by demonstrating published research, a strong GitHub portfolio, or contributions to open-source ML projects. Targeting applied scientist roles, which sit at the intersection of research and engineering, is a common stepping stone in Washington's market.
Where can I find and apply to machine learning scientist jobs in Washington?
You can find and apply to machine learning scientist jobs in Washington on Migrate Mate, which lists current Washington openings. Find the roles that fit your background and apply directly.
See All 21 Machine Learning Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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