AI/ML Researcher Jobs in Washington
AI/ML Researcher jobs in Washington are among the most actively recruited in the country, concentrated in cloud computing, defense contracting, and life sciences with demand running from junior research engineer to principal scientist. Seattle and the Eastside corridor anchoring Redmond and Bellevue drive the majority of openings, with Spokane adding a smaller but growing cluster tied to university research. Amazon, Microsoft, and the Allen Institute for AI are anchor employers with sustained hiring across large language models, computer vision, and reinforcement learning. See the openings below and apply to the ones that match your experience.
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience with image processing, computer vision, or machine learning applications.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of this team, you will focus on productionizing GenAI shopping features across Google’s most prominent surfaces, including Search, Commerce, Ads, Chrome, and YouTube. Here, you will master the art of scaling multimodal GenAI to production-level quality, leveraging Google’s infrastructure to deliver highly customized, industry-defining user experiences.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience with image processing, computer vision, or machine learning applications.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of this team, you will focus on productionizing GenAI shopping features across Google’s most prominent surfaces, including Search, Commerce, Ads, Chrome, and YouTube. Here, you will master the art of scaling multimodal GenAI to production-level quality, leveraging Google’s infrastructure to deliver highly customized, industry-defining user experiences.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
See All 9 AI/ML Researcher Jobs in Washington
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Find AI/ML Researcher JobsAI/ML Researcher Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI/ML Researcher Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Artificial Intelligence
- Distribution & Wholesale
What Washington Employers Look For
The qualifications that appear most often in AI/ML researcher jobs across Washington.
- Master's or PhD in computer science, statistics, machine learning, or a closely related field
- Demonstrated research experience with published work or open-source contributions in machine learning
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale experiments on distributed computing infrastructure
- Ability to translate research findings into production-ready models or engineering prototypes
- Collaborative experience working with applied science, product, and software engineering teams
AI/ML Researcher Jobs in Washington: Frequently Asked Questions
How do you become a ai/ml researcher in Washington?
Most ai/ml researcher roles in Washington require at minimum a master's degree, with a PhD preferred for positions at research labs and large technology companies. There is no state-issued license for this role in Washington. Candidates typically build a record through graduate research, internships, or published work in peer-reviewed venues, then apply directly to research teams at technology companies, national laboratories like Pacific Northwest National Laboratory, or university-affiliated institutes in the Seattle and Spokane areas.
Which companies hire ai/ml researchers in Washington?
Companies currently hiring ai/ml researchers in Washington include Meta, Google, and Oracle, per current listings on Migrate Mate as of September 2026. Washington's concentration of cloud and enterprise technology headquarters means research roles here tend to be tied to large-scale infrastructure, foundation models, and applied science teams rather than early-stage startups.
Which Washington cities have the most ai/ml researcher jobs?
Seattle, Olympia, and Redmond account for the largest share of ai/ml researcher openings in Washington. Seattle anchors the market because Amazon, the Allen Institute for AI, and a dense cluster of technology companies are headquartered there, while Redmond and Bellevue draw openings from Microsoft's research and product divisions, and Spokane reflects growing demand tied to Washington State University and regional defense contractors.
Are there remote ai/ml researcher jobs in Washington?
Yes, and more than most fields. About 0% of ai/ml researcher openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of the work involves computation, code, and written research rather than physical presence. Roles focused on modeling, experimentation, and paper-writing tend to be the most remote-friendly, while positions requiring close collaboration with hardware teams or classified defense work are typically on-site.
How can I get hired as a ai/ml researcher in Washington with little or no experience?
The most realistic entry path is a research internship or residency program at one of Washington's large technology employers. Microsoft Research and Amazon Science both run structured internship and residency tracks specifically designed for candidates without full-time research experience. Applying to adjacent roles such as machine learning engineer, data scientist, or research software developer at these same organizations is a common lateral move that builds the publication record and internal network needed to transition into a full researcher title. A strong GitHub portfolio and a thesis or capstone project focused on a current research area meaningfully strengthens applications.
Where can I find and apply to ai/ml researcher jobs in Washington?
You can find and apply to ai/ml researcher jobs in Washington on Migrate Mate, which lists current openings tied to Washington employers and locations. Search for roles that match your experience level and research focus, then apply directly to the ones that fit. No sign-up is required to view openings.
See All 9 AI/ML Researcher Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI/ML Researcher Jobs