Applied Scientist (Contract), Artificial General Intelligence

Amazon • Boston, MA

2d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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.
• Enhance customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
• 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.
• Work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level