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Machine Learning Engineer, FAI

Amazon

Sunnyvale, CAJob$165–224K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$165–224K/yr
Location
Sunnyvale, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Machine Learning Engineer will support foundational model development in an applied research role on Amazon’s Foundational AI team. The work includes developing RL Gyms, assessing their usefulness for frontier model advancement, and building techniques to advance the state of the art with LLMs. The role uses Amazon’s heterogeneous data sources and large-scale computing resources to advance GenAI technology for customer-facing products and services.

Skills & qualifications

RequiredNice to have

Skills

Deep LearningSoftware DevelopmentSystem DesignLarge-Scale Software DevelopmentObject-Oriented DesignProgrammingSoftware Development Life CycleCoding StandardsCode ReviewsSource Control ManagementBuild ProcessesTestingOperationsC#C++JavaPerl

Qualifications

3+ Years Software Development2+ Years System Design1+ Years Large-Scale Application Development1+ Years Object-Oriented DesignBachelor's in Computer Science, Engineering, Mathematics, or Related FieldBachelor's in Computer Science or Equivalent3+ Years Software Development Life Cycle

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Description

The Foundational AI (FAI) team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs).

Key job responsibilities

As a Machine Learning Engineer with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to advance the state of the art with LLMs. You will support the foundational model development in an applied research role. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.

About the team

The FAI team has a 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

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • 1+ 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually

How this job compares

Set against the 6,178 open Machine Learning Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$165–224K/yr
  • California median$177–262K/yr1,422 salary ranges
  • US median$150–245K/yr4,996 salary ranges

This range's midpoint, $194K, is 13% below the California median midpoint ($224K) — in the middle half of Machine Learning Engineer salary ranges in California.

Openings
Olive Jobs lists 1,894 open Machine Learning Engineer jobs in California and 6,178 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 3 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,875 postings).
Education
2,161 of the 6,178 open Machine Learning Engineer jobs (35%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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