AI Research Engineer Jobs in Washington
AI Research Engineer jobs in Washington represent one of the most active markets in the country, concentrated in machine learning infrastructure, large language model development, and applied AI for cloud and enterprise software, with openings at every level from new graduate to principal researcher. Seattle anchors the bulk of hiring, with additional demand in Redmond and Bellevue, where Microsoft, Amazon, and Allen Institute for AI maintain substantial research teams. Roles in natural language processing, reinforcement learning, and AI safety are among the most consistently sought. 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 46 AI Research Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Research Engineer JobsAI Research Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Research Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Meta13
- ByteDance12
- TikTok3
- Microsoft3
- Google2
Top Industries Hiring
- Technology & Software
- Social Media
- Science & Research
What Washington Employers Look For
The qualifications that appear most often in AI research engineer jobs across Washington.
- Master's or PhD in computer science, machine learning, or a related quantitative field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Demonstrated research experience through publications, preprints, or completed project portfolios
- Hands-on experience designing and training large-scale models on distributed compute clusters
- Ability to collaborate with applied science and product engineering teams on production systems
- Familiarity with MLOps practices including experiment tracking, model versioning, and deployment pipelines
AI Research Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ai research engineer in Washington?
The most direct path is completing a master's or PhD in computer science, machine learning, statistics, or electrical engineering, followed by research experience through internships or published work. Washington does not require a state-issued license for ai research engineers. Seattle-area universities such as the University of Washington and Washington State University are well-regarded entry points, and many candidates build their credentials through open-source contributions and graduate research labs before applying to industry roles.
How much do AI research engineers make in Washington?
AI research engineers 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 engineers in Washington?
Employers hiring ai research engineers in Washington right now include Meta, ByteDance, and TikTok, based on current listings on Migrate Mate as of November 2026. Washington's concentration of major technology headquarters and the presence of dedicated AI research labs make it one of the deepest hiring pools in the country for this role.
Which Washington cities have the most ai research engineer jobs?
Seattle, Redmond, and Bellevue have the most ai research engineer openings in Washington. Seattle drives the largest share of demand, anchored by the headquarters and research campuses of major technology companies, while Redmond and Bellevue generate significant volume through Microsoft's core AI and cloud divisions and a dense cluster of AI-focused startups and mid-size software firms in the Eastside corridor.
Are there remote ai research engineer jobs in Washington?
Yes, and more than most fields. About 20% of ai research engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of this work involves coding, model training, and writing rather than on-site equipment. Research roles tied to proprietary compute infrastructure or collaborative lab settings are the most likely to require in-person presence, while applied modeling and evaluation positions tend to offer the most flexibility.
How can I get hired as a ai research engineer in Washington with little or no experience?
The most realistic entry path is a research internship or new-graduate program at one of Washington's large technology employers, where companies like Microsoft and Amazon run structured rotations for candidates coming directly out of graduate programs. Applying for applied scientist or machine learning engineer associate roles provides a lateral entry point for those without dedicated research titles. A strong GitHub portfolio, a Kaggle competition record, or a co-authored paper gives candidates a concrete edge when experience on a resume is thin.
Where can I find and apply to ai research engineer jobs in Washington?
You can find and apply to ai research engineer jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the listings, find roles that fit your background and target location, and apply directly to the employers posting them.
See All 46 AI Research Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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