TL;DR

Applied Scientist (LLM Code Agents): Building and optimizing generative AI technologies for software development tools like Kiro IDE and Amazon Q Developer with an accent on reinforcement learning and post-training methodologies for large language models. Focus on inventing and implementing state-of-the-art machine learning solutions at Amazon scale, deploying revolutionary products, and publishing pioneering work.

Location: Hybrid work model available, requiring presence near one of Amazon’s U.S. offices. Applicants must be eligible to work in the United States.

Salary: $136,000–$223,400/year

Company

Amazon Web Services (AWS) is a comprehensive cloud platform pioneering AI-driven development tools like Kiro IDE and Amazon Q Developer.

What you will do

Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence.
Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale.
Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide.
Publish and present pioneering work at premier ML and NLP conferences.
Accelerate innovation by rapidly transitioning research breakthroughs into production systems.

Requirements

PhD, or Master's degree and 3+ (PhD) or 4+ (Master's) years of experience building models for business applications.
Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Proficiency in programming languages such as Java, C++, or Python.
Experience in areas like algorithms and data structures, parsing, numerical optimization, data mining, or parallel and distributed computing.
Must be eligible to work in the United States.

Nice to have

Experience using Unix/Linux.
Professional software development experience.

Culture & Benefits

Inclusive team culture fostered by employee-led affinity groups and continuous learning experiences.
Mentorship and career growth resources to develop professionals.
Emphasis on work-life harmony and flexibility within the working culture.
Hybrid work model offering options for in-office work or a flexible approach near U.S. Amazon offices.
Comprehensive total compensation package including medical, financial, equity, and sign-on benefits.