Sr. Machine Learning Engineer

Amazon.com Services LLC is hiring a Sr. Machine Learning Engineer in Boston, MA to design, build, and maintain systems that produce and evaluate frontier-quality assets used to train and evaluate GenAI models. In this role, you will partner with Applied Scientists and product teams to develop modeling and evaluation tools, with a focus on delivering reliable, high-quality software at large scale.

This position is based in Boston, MA (onsite), with an estimated USD 168,100 - 227,400 per year. A minimum of 5 years of relevant experience is required.

What you’ll do

• Develop and maintain core tooling for building agentic pipelines that create frontier-level assets, including RL gyms.
• Collaborate with product teams and scientists to develop new techniques and tooling tied to emerging research capabilities and model evaluation, aligned to customer needs.
• Own project prioritization and drive execution through deliverables, timelines, and stakeholder communication.
• Clarify technical trade-offs, share best practices, and contribute to technical strategy.
• Work closely with Applied Scientists to investigate and plan experiments, prototype new technology, and assess technical feasibility.
• Deliver high-quality software in a dynamic environment with tight schedules.

What you bring

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

Team context

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

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D) plus 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
• Parental leave

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.