
Applied Scientist, Artificial General Intelligence, Foundational AI
Bellevue, WAJob$136–184K/yrSeen 2mo agoSeen in employer's feed 3 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Amazon’s AGI team seeks an Applied Scientist to develop quality strategies and auditing frameworks for data collection workflows supporting Nova models. The role includes manual and meta-audits, auditor coaching, and building LLM-as-a-Judge systems for automated quality assessment. The scientist will collaborate with engineers, domain experts, and vendor teams to implement quality solutions and improve training and evaluation data.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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
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Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
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Experience programming in Java, C++, Python or related language
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Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Preferred Qualifications
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Experience implementing algorithms using both toolkits and self-developed code
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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
How this job compares
Set against the 1,075 open Applied Scientist jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$136–184K/yr
- Washington median$143–226K/yr242 salary ranges
- US median$158–264K/yr1,036 salary ranges
This range's midpoint, $160K, is 19% below the Washington median midpoint ($197K) — in the lowest quarter of Applied Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 248 open Applied Scientist jobs in Washington and 1,075 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon (this employer)195 open
- Microsoft Corporation23 open
- Oracle8 open
- Experience
- Applied Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 8 years (918 postings).
- Education
- This posting asks for a master's degree; 428 of the 1,075 open Applied Scientist jobs (40%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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