Machine Learning Engineer, Foundational AI (FAI)
- Pay
- $165,200 – $223,600 per year
- Location
- Sunnyvale, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- 19 days ago
Skills & highlights for this role
- machine learning
- deep learning
- computer science fundamentals
- natural language processing
Also useful
- managed ML/AI solutions
- code reviews
- source control management
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Parental leave
About the role
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 supports the growth and progress of RL Gyms and assess the value of RL gyms for the frontier model advancement.
The team has a mission to push boundaries 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 computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience - Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience using managed ML/AI solutions 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 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, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually
From Amazon.com Services LLC's careers page, first listed on Rolev.ai on October 21, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Machine Learning Engineer, Foundational AI (FAI) role at Amazon.com Services LLC?
The Machine Learning Engineer, Foundational AI (FAI) posting at Amazon.com Services LLC states compensation of $165,200 – $223,600 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Amazon.com Services LLC's official career site.
Where is the Machine Learning Engineer, Foundational AI (FAI) job at Amazon.com Services LLC located?
This Machine Learning Engineer, Foundational AI (FAI) position at Amazon.com Services LLC is located in Sunnyvale, CA (On-site). Always check Amazon.com Services LLC's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer, Foundational AI (FAI) at Amazon.com Services LLC?
For the Machine Learning Engineer, Foundational AI (FAI) role, Amazon.com Services LLC highlights 3+ years of relevant experience; a bachelor's degree; experience with machine learning, deep learning, computer science fundamentals, natural language processing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer, Foundational AI (FAI) position at Amazon.com Services LLC?
This listing links directly to Amazon.com Services LLC's application page. You can apply directly on Amazon.com Services LLC's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.