Applied Scientist, AWS Agentic AI
Core
Build unified code representations and continual learning systems for generative AI tools like Kiro IDE/CLI to serve millions of developers.
Role type
Applied Scientist (Generative AI / Code Understanding)
Builds
Generative AI technologies (Kiro IDE, CLI) and code understanding systems
Domain
Cloud computing, Software Engineering, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Code analysis, Memory-augmented architectures, Retrieval mechanisms, Personalization, Algorithms and data structures, Parallel and distributed computing, High-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, Professional software development
Technologies
Kiro IDE, CLI, Java, C++, Python
Responsibilities
Build representations of code fusing static analysis, symbol graphs, and build system context; Implement memory-augmented architectures for continual learning; Invent and implement state-of-the-art ML solutions at Amazon scale; Deploy products impacting developer workflows; Publish research at premier conferences; Accelerate innovation by transitioning research to production.
Seniority
Senior, hands-on IC