Senior AI Scientist: Scalable RL for Code Intelligence

Amazon Web Services (AWS); Santa Clara (CA); On-site; USD 229,000 - 309,000; Full time

Job summary

Amazon Development Center U.S., Inc. is seeking a Principal Applied Scientist to collaborate with leading researchers and engineers on the next generation of AI-driven development tools for coding assistants.

You will push RL methods for code intelligence, design scalable training recipes, and translate breakthroughs into widely used production features. The role involves direct collaboration with customers, publishing at top ML conferences, and contributing to tools that empower developers to

Qualifications

• PhD or Master’s degree with 10+ years in CS/CE/ML required or equivalent experience.
• 5+ years of hands-on large-scale training experience is required.
• Record of patents or publications at top-tier conferences/journals is preferred.
• Proficiency in C++ and Python is required.

Responsibilities

• Push the boundaries of reinforcement learning and post-training methods for code-focused LLMs.
• Invent and implement state-of-the-art agentic RL training recipes at Amazon scale.
• Deploy products impacting daily workflows of millions of developers.
• Advance AI/ML research and publish findings at premier conferences.
• Collaborate with customers to translate research into production systems.

Education

PhD or Master’s degree with 10+ years in CS/CE/ML

5+ years of hands-on large scale training experience

Experience with patents or top-tier publications

Proficiency in C++, Python or related languages

Job description

Amazon Development Center U.S., Inc. is seeking a Principal Applied Scientist to collaborate with leading researchers and engineers on the next generation of AI-driven development tools for coding assistants.

You will push RL methods for code intelligence, design scalable training recipes, and translate breakthroughs into widely used production features. The role involves direct collaboration with customers, publishing at top ML conferences, and contributing to tools that empower developers to