Amazon · 2 days ago
Applied Scientist (Contract), Artificial General Intelligence
Boston, Massachusetts, USA
Full-time, Contract
Onsite
Mid, Senior Level
$136K/yr - $184K/yr
2+ years expAmazon is seeking a skilled and innovative Applied Scientist to join their Artificial General Intelligence (AGI) team. The role involves developing quality strategies and auditing frameworks for data collection workflows, while also enhancing customer experiences through high-quality training and evaluation data.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Collaborate closely with core scientist team developing Amazon Nova models
Lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows
Design auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks
Perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities
Develop and maintain LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment
Set up the configuration of data collection workflows and communicate quality feedback to stakeholders
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
Qualification
Required
Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
2+ years of building machine learning models or developing algorithms for business application experience
3+ years of programming in Java, C++, Python or related language experience
Preferred
Ph.D. in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
Have publications at top-tier peer-reviewed conferences or journals
4+ years of solving business problems through machine learning, data mining and statistical algorithms experience
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-22
2026-01-22
2026-01-22
Company data provided by crunchbase