AI Researcher Jobs in Washington
AI Researcher jobs in Washington are among the most actively recruited roles in the country, concentrated in Seattle's technology corridor and anchored by a dense cluster of machine learning, natural language processing, and computer vision work at companies ranging from new graduates through principal-level researchers. Seattle, Redmond, and Bellevue account for the majority of openings, with major employers like Microsoft, Amazon, and Apple maintaining large research teams in the region. Demand is especially strong in foundation model development, reinforcement learning, and applied AI 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 39 AI Researcher Jobs in Washington
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Find AI Researcher JobsAI Researcher Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Researcher Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Meta13
- ByteDance12
- TikTok3
- Microsoft2
- Google1
Top Industries Hiring
- Technology & Software
- Social Media
- Science & Research
What Washington Employers Look For
The qualifications that appear most often in AI researcher jobs across Washington.
- PhD or master's degree in computer science, machine learning, or a closely related field
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow
- Published research or demonstrated contributions to peer-reviewed conferences like NeurIPS or ICML
- Strong proficiency in Python and familiarity with large-scale distributed computing environments
- Experience designing and running rigorous experiments, with clear documentation and reproducibility
- Ability to collaborate across engineering, product, and applied science teams on research projects
AI Researcher Jobs in Washington: Frequently Asked Questions
How do you become a ai researcher in Washington?
Most ai researchers working in Washington hold at least a master's degree, and the majority of research-track roles at Washington employers require a PhD in computer science, statistics, or a related field. Washington has no state-issued license or registration for this role. The practical path is completing an advanced degree with a thesis focus in machine learning or AI, building a publication record or strong project portfolio, and applying directly to research teams at Washington's large technology employers or university-affiliated labs such as the Allen Institute for AI.
How much do AI researchers make in Washington?
AI researchers 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 researchers in Washington?
Employers hiring ai researchers in Washington right now include Meta, ByteDance, and TikTok, based on current listings on Migrate Mate as of November 2026. Washington's concentration of large technology headquarters and well-funded research labs makes it one of the few U.S. markets where dedicated research roles, rather than applied engineering positions, are posted consistently throughout the year.
Which Washington cities have the most ai researcher jobs?
Seattle, Redmond, and Bellevue have the most ai researcher openings in Washington. Seattle and Redmond together account for most of this volume because Microsoft and Amazon both maintain substantial core research organizations there, while Bellevue has grown as a secondary hub as those companies and mid-size AI-focused firms have expanded their footprints across the Eastside.
Are there remote ai researcher jobs in Washington?
Yes, and more than most fields. About 14% of ai researcher openings tied to Washington are remote or hybrid as of November 2026, reflecting the desk-based, compute-driven nature of most research work. The roles most likely to be fully remote are those focused on theoretical work, paper writing, and model evaluation, while positions that require close collaboration with hardware teams or access to proprietary compute clusters are more likely to require on-site presence.
How can I get hired as a ai researcher in Washington with little or no experience?
The most realistic entry path is a research internship at one of Washington's large technology employers during a graduate program, since Microsoft Research, Amazon Science, and the Allen Institute for AI all run structured internship pipelines that frequently convert to full-time offers. Candidates without a completed graduate degree can also target research engineer or machine learning engineer roles as a lateral entry point, then transition toward research responsibilities once inside. A strong GitHub portfolio with reproducible experiments, or a co-authored paper even from a workshop venue, gives Washington employers concrete evidence of research capability.
Where can I find and apply to ai researcher jobs in Washington?
You can find and apply to ai researcher jobs in Washington on Migrate Mate, which lists current Washington openings. Search the available roles, find the ones that fit your background and target location, and apply directly to each position.
See All 39 AI Researcher Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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