AI Research Scientist Jobs in Washington
AI Research Scientist jobs in Washington are among the most actively hiring markets in the country, concentrated in cloud computing, autonomous systems, health informatics, and defense technology at every level from research associate through principal scientist. Seattle anchors most of the demand, with Bellevue and Redmond close behind, where companies like Microsoft, Amazon, and the Allen Institute for AI maintain deep research teams. The most sought-after specialties right now are large language models, computer vision, and reinforcement learning applied to real-world systems. Find a role that fits below and apply directly.
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AI Research Scientist, Multimodal Perception Responsibilities:
- Build models that can understand images and videos
- Conduct research and work with efficient vision encoders, multi-modal LLMs
- Define, build and benchmark new capabilities needed for the next generation of AI
- Train and optimize state-of-the-art machine learning and neural network methodologies
- Work with and create large datasets, and contribute to data annotation engines
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- AI Research Scientist, multimodal perception (PhD)
- Research Experience in deep learning, computer vision, robotics, or AI infrastructure
- Experience with Python and PyTorch
- Experience developing software and executing complex experiments
- Experience communicating research for public audiences of peers
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Research experience with efficiency as a focus
- Experience working and communicating cross functionally in a team environment
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, ECCV, ICML, NeurIPS or similar
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.
AI Research Scientist, Multimodal Perception Responsibilities:
- Build models that can understand images and videos
- Conduct research and work with efficient vision encoders, multi-modal LLMs
- Define, build and benchmark new capabilities needed for the next generation of AI
- Train and optimize state-of-the-art machine learning and neural network methodologies
- Work with and create large datasets, and contribute to data annotation engines
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- AI Research Scientist, multimodal perception (PhD)
- Research Experience in deep learning, computer vision, robotics, or AI infrastructure
- Experience with Python and PyTorch
- Experience developing software and executing complex experiments
- Experience communicating research for public audiences of peers
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Research experience with efficiency as a focus
- Experience working and communicating cross functionally in a team environment
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, ECCV, ICML, NeurIPS or similar
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 30 AI Research Scientist Jobs in Washington
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Find AI Research Scientist JobsAI Research Scientist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Research Scientist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Meta12
- ByteDance6
- TikTok3
- Amazon2
- Google1
Top Industries Hiring
- Technology & Software
- Social Media
What Washington Employers Look For
The qualifications that appear most often in AI research scientist jobs across Washington.
- PhD in computer science, machine learning, statistics, or a closely related field
- Demonstrated publication record in peer-reviewed AI or machine learning venues
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and training large-scale models on distributed compute infrastructure
- Ability to communicate research findings clearly to both technical and non-technical stakeholders
- Familiarity with responsible AI practices, model evaluation, and fairness or safety benchmarks
AI Research Scientist Jobs in Washington: Frequently Asked Questions
How do you become a ai research scientist in Washington?
Most ai research scientist roles in Washington require a PhD in computer science, machine learning, or statistics, though candidates with a strong master's degree and a published research portfolio are considered at some employers. Washington has no state-issued license for this role. The concrete path is building a publication record, contributing to open-source projects, and targeting research internships or postdoctoral positions at Seattle-area university labs or industry research groups before applying to full-time roles.
How much do AI research scientists make in Washington?
AI research scientists in Washington earn a median of about $202,400 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $95,890 for the lowest 10% to over $281,050 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai research scientists in Washington?
Employers hiring ai research scientists in Washington right now include Meta, ByteDance, and TikTok, based on current listings on Migrate Mate as of November 2026. Washington's concentration of cloud and enterprise technology headquarters means many of these employers run dedicated research labs rather than embedding scientists in product teams.
Which Washington cities have the most ai research scientist jobs?
Seattle, Bellevue, and Redmond account for the largest share of ai research scientist openings in Washington. Seattle drives the majority of demand as the home base for major technology and cloud companies, while Bellevue and Redmond host satellite campuses and flagship research operations for several of those same employers, making the broader Eastside corridor a substantial market in its own right.
Are there remote ai research scientist jobs in Washington?
Yes, and more than most fields. About 17% of ai research scientist openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, running experiments, and analyzing results rather than on-site lab presence. Roles focused on modeling, evaluation, and applied research tend to offer the most scheduling flexibility, while positions involving proprietary hardware or data center access more often require in-person work.
How can I get hired as a ai research scientist in Washington with little or no experience?
The most realistic entry path is a research internship or predoctoral fellowship, which Microsoft Research, Amazon Science, and the Allen Institute for AI all run for candidates still completing graduate work. From there, contributing to published papers during the internship is the credential that converts the most to return offers. Candidates transitioning from adjacent roles such as machine learning engineer or data scientist can move into research tracks by building a public portfolio of novel experiments and targeting applied research teams rather than pure research labs.
Where can I find and apply to ai research scientist jobs in Washington?
You can find and apply to ai research scientist jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the listings for roles that match your background and apply directly to the ones that fit.
See All 30 AI Research Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Research Scientist Jobs