Artificial Intelligence Scientist Jobs in Washington
Artificial Intelligence Scientist jobs in Washington are among the most active in the country, concentrated in cloud computing, enterprise software, aerospace, and life sciences, with openings at every level from research engineer through principal scientist. Seattle and Redmond anchor most of the demand, with Bellevue growing steadily, and major employers with deep Washington roots include Microsoft, Amazon, and Boeing. The most in-demand specialties are large language model research, computer vision, and applied machine learning for cloud-native platforms. Find a role that fits below and apply directly.
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Showing 5 of 45+ Artificial Intelligence Scientist jobs
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 45 Artificial Intelligence Scientist Jobs in Washington
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Find JobsArtificial Intelligence Scientist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Artificial Intelligence Scientist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Meta12
- Amazon9
- ByteDance6
- TikTok3
- Amazon Web Services3
Top Industries Hiring
- Technology & Software
- Retail
- Social Media
- E-Commerce & Online Marketplaces
What Washington Employers Look For
The qualifications that appear most often in artificial intelligence scientist jobs across Washington.
- Advanced degree in computer science, machine learning, or a closely related technical field
- Hands-on experience designing and training large-scale deep learning or generative AI models
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience deploying AI systems on cloud infrastructure, particularly Azure or AWS
- Demonstrated publication record or patents in machine learning or artificial intelligence research
- Ability to collaborate with cross-functional engineering and product teams on applied AI problems
Artificial Intelligence Scientist Jobs in Washington: Frequently Asked Questions
How do you become a artificial intelligence scientist in Washington?
Washington has no state-issued license or registration required to work as an artificial intelligence scientist, so the path runs through education and demonstrated technical skill. Most roles require at minimum a master's degree in computer science, machine learning, statistics, or a related field, though doctoral degrees are standard for pure research positions. Washington's large tech employers typically expect a portfolio of published research, open-source contributions, or prior industry projects that show applied modeling experience alongside the academic credential.
How much do artificial intelligence scientists make in Washington?
Artificial intelligence 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 artificial intelligence scientists in Washington?
Employers hiring artificial intelligence scientists in Washington right now include Meta, Amazon, and ByteDance, based on current listings on Migrate Mate as of November 2026. Washington's concentration of cloud hyperscalers, enterprise software companies, and aerospace firms makes it one of the deepest hiring markets for this role in the United States.
Which Washington cities have the most artificial intelligence scientist jobs?
Seattle, Bellevue, and Redmond have the most artificial intelligence scientist openings in Washington. Seattle and Redmond drive the bulk of demand because Microsoft and Amazon are headquartered there and run some of the world's largest AI research and applied science organizations, while Bellevue has grown into a significant secondary hub as mid-size cloud and enterprise software companies have established engineering campuses in the city.
Are there remote artificial intelligence scientist jobs in Washington?
Yes, and more than most fields. About 25% of artificial intelligence 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 collaborating asynchronously rather than requiring a fixed lab or on-site presence. The roles most likely to be fully remote are applied research and modeling positions, while roles requiring specialized hardware clusters or close collaboration with product teams tend to require at least hybrid attendance.
How can I get hired as a artificial intelligence 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 major tech employers. Microsoft and Amazon both run structured research intern pipelines that frequently convert to full-time roles, and several of Amazon's applied science teams hire candidates directly from doctoral programs with no prior industry experience required. Building a visible portfolio through Kaggle competitions, open-source contributions to widely used ML libraries, or preprints on arXiv gives Washington hiring teams concrete evidence of ability when a formal work history is thin. Adjacent roles such as machine learning engineer or data scientist at mid-size Seattle-area companies can also serve as a bridge into a scientist title within one to two years.
Where can I find and apply to artificial intelligence scientist jobs in Washington?
You can find and apply to artificial intelligence scientist jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Redmond, Bellevue, and the broader state. Find the roles that fit your background and apply directly from the listings.
See All 45 Artificial Intelligence Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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