Amazon.com Services LLC

Technology

AppliedScienceManager,ArtificialGeneralIntelligence,QualityAutomation

$184–249k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Applied Science Manager, Artificial General Intelligence, Quality Automation at Amazon.com Services LLC. Skills: Artificial General Intelligence, Quality Automation, Machine Learning, Large Language Models. Lead and mentor a team of Applied Scientists. Develop comprehensive quality strategies”

What You'll Achieve.

Ensure highest standards of data quality; Build industry-leading technology

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

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

Nice to Have

Experience building machine learning models, Experience developing algorithms for business application, Experience building complex software systems, Experience involving deep learning, Experience involving machine learning, Experience involving computer vision, Experience successfully delivered to customers

What You'll Do.

Lead and mentor a team of Applied Scientists

Develop comprehensive quality strategies

Develop auditing frameworks

Safeguard the integrity of data collection workflows

Guide the team in designing auditing strategies

Define utility measurement strategies

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

Communicate with cross-functional technical teams

Communicate with customers

Describe product features

Describe technical designs

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

Work closely with talented engineers

Work closely with domain experts

Work closely with vendor teams

Put quality strategies into practice

Put automated judging systems into practice

Conduct regular 1:1s with team members

Provide mentorship and coaching

Ensure the team delivers high-impact results

How You'll Work.

Team & Collaboration

Cross-functional technical teams; Domain experts; Vendor teams

Communication Scope

Senior leadership communication; Cross-functional communication; Customer communication; Product strategy articulation

Full Job Description

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 st

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