Applied Scientist, Code Intelligence for AI Dev Tools

Amazon Inc.; Santa Clara (CA); Hybrid; USD 172,000 - 222,000; Full time

Job summary

Amazon Science is hiring an Applied Scientist to build the intelligence layer that lets our AI development tools reason about code through its true structure. You will help create generative AI technologies, including Kiro IDE and CLI, transforming how software gets built.

You will design how we fuse signals from static analysis, symbol graphs, and build systems into a single representation our models can reason over, enabling scale to millions of developers and production deployment across AWS.

Qualifications

• 3+ years building models for business applications
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Responsibilities

• Design a unified representation of code that fuses static analysis, symbol and call graphs, type information, and build system context
• Build the methods and models that consume that representation to power code navigation, retrieval, and reasoning at repository scale
• Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale
• Deploy products that directly impact the daily workflows of millions of developers worldwide
• Publish and present your work at premier ML, NLP, and software engineering conferences
• Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems

Skills

Model building

Programming in Java/C++/Python

CS/ML background

Education

PhD or MS with 4+ years CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Science is hiring an Applied Scientist to build the intelligence layer that lets our AI development tools reason about code through its true structure. You will help create generative AI technologies, including Kiro IDE and CLI, transforming how software gets built.

You will design how we fuse signals from static analysis, symbol graphs, and build systems into a single representation our models can reason over, enabling scale to millions of developers and production deployment across AWS.