Amazon

Sr. Machine Learning Engineer, AGI

Amazon
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1 month ago
Sunnyvale, CA, USASenior
H1B sponsor

Base Salary

$193k - $262k/yr

Responsibilities

  • Develop and assess RL Gyms for frontier model advancement.
  • Build techniques that advance the state of the art with large language models.
  • Support foundational model development in an applied research role.
  • Use Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.
  • Lead design or architecture for reliable and scalable new and existing systems.
  • Mentor others or serve as a tech lead or engineering team lead.

Requirements

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming experience with at least one software programming language.
  • 5+ years of experience leading the design or architecture of new and existing systems, including design patterns, reliability, and scaling.
  • Experience as a mentor, tech lead, or engineering team lead.
  • Preferred: 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Preferred: bachelor’s degree in computer science or equivalent.

Benefits

  • Base salary range is $193,300.00-$261,500.00 USD annually.
  • Amazon package includes sign-on payments and restricted stock units (RSUs).
  • Benefits include medical, dental, vision, prescription, life and AD&D insurance, employee assistance and mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
  • Work location is Sunnyvale, California, USA.

Categories

AI ResearchML Engineering
Amazon

About Amazon

10,000+ employees

Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.

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