Applied Scientist, Foundational AI

Amazon Science; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon Science is seeking an Applied Scientist for the AGI team to lead quality strategies, auditing frameworks, and automated evaluation systems for data used in LLMs and multimodal models.

You will design judge architectures, evaluation rubrics, and build ML models for automated quality assessment, while coaching teams to uplift overall quality capabilities and safeguard data integrity.

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.

Responsibilities

• Develop quality strategies and auditing frameworks for data collection workflows.
• Design auditing meta-audits and coaching to improve auditor performance.
• Build LLM-as-a-Judge systems with evaluation rubrics and ML models for automated quality assessment.
• Configure data collection workflows and communicate quality feedback to stakeholders.
• Enhance customer experiences through high-quality training data powering state-of-the-art LLM products.

Skills

Java

C++

Python

SQL

Education

Master's degree in CS/Math/Statistics/ML

Tools

Oracle

Data Warehouse

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.

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.

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.

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

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