Sr. Machine Learning Engineer

Amazon.com Services LLC is building forward with GenAI, with the FAI team focused on pushing the envelope using large language models to deliver the best-possible experience for customers. In this Sr. Machine Learning Engineer role, you will design, build, and maintain systems that create and evaluate frontier-quality assets used to train and evaluate GenAI models, partnering with Applied Scientists and product teams to ship high-quality software at large scale.

What you’ll do

• Develop and maintain tooling that supports agentic pipelines for creating frontier-level assets, including RL gyms.
• Partner with product teams and scientists to develop new techniques and tooling aligned to emerging research capabilities and model evaluation needs.
• Own project prioritization, manage deliverables and timelines, and handle stakeholder communication.
• Clarify technical trade-offs, share best practices with the team, and shape technical strategy.
• Work closely with Applied Scientists to plan experiments, prototype new technology, and assess technical feasibility.
• Deliver high-quality software in a dynamic environment with tight schedules.

Minimum qualifications

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

Compensation

USD 168,100 - 227,400 per year.

Benefits

• Sign-on payments and restricted stock units (RSUs).
• 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 and parental leave.

Location: Boston, MA (onsite).