Applied Scientist (LLM Code Agents)

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.