# Machine Learning Engineer, Amazon FAI

Source: https://realanalystjobs.com/job/machine-learning-engineer-amazon-fai-amazon-0eb11859
Machine Learning Engineer, Amazon FAI at Amazon, an on-site role based in Boston, Massachusetts, USA. Experience level: 3+ Years. Posted on 15 October 2026, read from Amazon's own careers page (Amazon), which RealAnalystJobs re-checks daily and removes the role when it closes. Amazon has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Updated 15 November 2026.

## Key facts

- Company: [Amazon](https://realanalystjobs.com/companies/amazon)
- Location: Boston, Massachusetts, USA
- Work mode: On-site
- Posted: Oct 15, 2026
- Employment type: Full time
- Experience level: 3+ Years
- Source: Amazon's careers page (Amazon), re-checked daily

## Visa sponsorship

The posting does not say.

Amazon had H-1B petitions approved for 12,010 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/amazon#h1b-record)

## About this 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.

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.
• 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
- 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
- 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language

Preferred qualifications
- 3+ 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 - 143,700.00 - 194,400.00 USD annually

Description from Amazon's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-amazon-fai-amazon-0eb11859) and use Apply now there to reach the employer's application. The listing is re-checked against Amazon's careers page daily and removed when it closes.

## Amazon

583 open analyst roles on Real Analyst Jobs. [More roles at Amazon](https://realanalystjobs.com/companies/amazon)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-amazon-fai-amazon-0eb11859)
- [Amazon on Real Analyst Jobs](https://realanalystjobs.com/companies/amazon)
- [All analyst jobs](https://realanalystjobs.com/jobs)
