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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DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
A day in the life
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.
BASIC QUALIFICATIONS
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
A day in the life
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.
BASIC QUALIFICATIONS
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually
See All 22 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
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Social Media
- Biotechnology & Pharmaceuticals
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 TikTok, ByteDance, and Meta, based on current listings on Migrate Mate as of September 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 0% of ai research scientist openings tied to Washington are remote or hybrid as of September 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 22 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