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Job Description

Amazon.com Services LLC is hiring a Senior Machine Learning Engineer in Boston, MA for an onsite role. In this position, you will design, build, and maintain systems that create and evaluate frontier-quality assets to train and evaluate GenAI models, working closely with Applied Scientists and product teams.

This role focuses on delivering high-quality software at large scale, including the tooling and evaluation capabilities needed for agentic and research-driven workflows. You will help guide technical direction through prioritization, experimentation planning, and clear communication with stakeholders.

What You’ll Do

  • Develop and maintain critical tooling for building agentic pipelines that produce frontier-level assets, including RL gyms.
  • Partner with product teams and scientists to create techniques and tooling that align emerging research capabilities with model evaluation needs.
  • Own project prioritization, deliverables, timelines, and stakeholder communication.
  • Identify and explain engineering trade-offs, educate the team on best practices, and influence technical strategy.
  • Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and assess technical feasibility.
  • Deliver high-quality software in a fast-moving environment with tight schedules.

Basic Qualifications

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming with experience in at least one software programming language.
  • 5+ years of leading design or architecture (including design patterns and reliability and scaling) for new and existing systems.
  • Experience mentoring, serving as a tech lead, or leading an engineering team.

Preferred Qualifications

  • 8+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Bachelor’s degree in computer science or equivalent.

About the Team

The FAI team’s mission is to push the envelope in GenAI with LLMs to provide the best-possible experience for customers.

Compensation

USD 168,100 - 227,400 per year.

Benefits

  • Sign-on payments and restricted stock units (RSUs).
  • Health insurance including medical, dental, vision, prescription, Basic Life & AD&D, with an option for Supplemental life plans.
  • EAP, Mental Health Support, and Medical Advice Line.
  • Flexible Spending Accounts.
  • Adoption and Surrogacy Reimbursement coverage.
  • 401(k) matching.
  • Paid time off and parental leave.

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