Sr. Machine Learning Engineer
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.