Applied Science Manager, Artificial General Intelligence , Quality Automation

Amazon • Bellevue, WA

2d

About The Position

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Science Manager with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to lead a team ensuring 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 Science Manager will lead and mentor a team of Applied Scientists who develop comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. The manager will guide the team in designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that align with core scientist team developing Amazon Nova models. The Applied Science Manager will oversee expert-level manual audits, meta-audits to evaluate auditor performance, and provide coaching to uplift overall quality capabilities across the team. The manager will lead research in areas related to HIL data impact to LLM models, and define utility measurement strategies for data generated by AGI-DS for Nova models.

The Applied Science Manager will be responsible for recruiting, hiring, and developing team members, conducting performance reviews, setting clear expectations and growth plans, and fostering a culture of scientific excellence and innovation. The manager will communicate with senior leadership, cross-functional technical teams, and customers to collect requirements, describe product features and technical designs, and articulate product strategy.

A day in the life
An Applied Science Manager with the AGI team will lead quality solution design, guide root cause analysis on data quality issues, drive research into new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. The manager will work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice. The manager will also conduct regular 1:1s with team members, provide mentorship and coaching, and ensure the team delivers high-impact results aligned with organizational goals.

Requirements

• 3+ years of scientists or machine learning engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics

Nice To Haves

• Experience building machine learning models or developing algorithms for business application
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Responsibilities

• Lead and mentor a team of Applied Scientists
• Develop comprehensive quality strategies and auditing frameworks
• Design auditing strategies with detailed SOPs, quality metrics, and sampling methodologies
• Oversee expert-level manual audits and meta-audits
• Provide coaching to uplift overall quality capabilities
• Lead research in areas related to HIL data impact to LLM models
• Define utility measurement strategies for data generated by AGI-DS for Nova models
• Recruit, hire, and develop team members
• Conduct performance reviews
• Set clear expectations and growth plans
• Foster a culture of scientific excellence and innovation
• Communicate with senior leadership, cross-functional technical teams, and customers
• Collect requirements, describe product features and technical designs, and articulate product strategy
• Lead quality solution design
• Guide root cause analysis on data quality issues
• Drive research into new auditing methodologies
• Find innovative ways of optimizing data quality
• Set examples for the team on quality assurance best practices and standards

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: Manager
• Education Level: No Education Listed