About the role

What will you do at Amazon?

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

-
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

- 5+ 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
[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
[https://amazon.jobs/en/benefits].
USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually

Which skills does this role require?

Machine learningDeep learningGenerative AILarge language modelsSystem architectureDesign patternsReliabilityScalingTechnical leadershipMentoringMachine LearningDeep LearningLarge Language ModelsRL GymsSystem ArchitectureDesign PatternsTechnical LeadershipApplied ResearchData SourcesComputing ResourcesLLMs

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