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The role
As an 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.
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.
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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.
USA, MA, Boston – 143,700.00 - 194,400.00 USD annually
What you will do
- 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.
- 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.
Legal notes
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Compared with similar jobs
This base pay is below the median for ML and AI engineering jobs in other US places with no level in the job title.
- Median
- $183K a year
- Other jobs in the group
- 417
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.