Sr. Machine Learning Engineer, Amazon FAI

As an Sr. MLE on our team, you will design, build, and maintain systems for building frontier quality assets to train and evaluate our GenAI models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.

We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.


Key job responsibilities
• Develop and maintain key tooling for building agentic pipelines to create frontier-level assets, such as RL gyms.
• Work closely with product teams, and scientists to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs.
• Manage project prioritization, deliverables, timelines, and stakeholder communication.
• Illuminate 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 evaluate technical feasibility.
• Operate in a dynamic environment to deliver high-quality software against tight schedules.


About the team
The FAI team has the mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers.

Basic Qualifications

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

Preferred Qualifications

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, Boston - 168,100.00 - 227,400.00 USD annually