Sr. Machine Learning Engineer

Amazon Inc.; Boston (MA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Sign-on payments and RSUs

Health insurance (medical, dental, and

EAP, Mental Health Support

Flexible Spending Accounts

Adoption and Surrogacy Reimbursement

401(k) matching

Paid time off and parental leave

Job summary

Amazon.com Services LLC is seeking a Sr. Machine Learning Engineer to design, build, and maintain systems that create 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.

Location: Boston, MA onsite. You will develop tooling for agentic pipelines, lead design and architecture decisions, mentor engineers, plan experiments with scientists, and deliver robust software in a fast-paced,

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.
• Bachelor’s degree in computer science or equivalent.

Responsibilities

• 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.

Skills

5+ years of software development

5+ years of programming experience

5+ years leading design or arch

Mentor/tech lead experience

Education

Bachelor’s degree in computer science or equivalent

Job description

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).