Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new of state-of-the-art foundation models (FMs).
Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!
Key job responsibilities
Responsible for building the infrastructure + SDKs needed to integrate web applications and their associated tasks into a production RL environment with significant concurrency limits and operational requirements.
Core Engineering:
Architect and deliver robust software solutions throughout the development lifecycle
Design and implement applications using modern TypeScript and Python
Build and deploy cloud- applications and RESTful APIs
Engineer and optimize high-performance systems at scale
Collaboration & Leadership:
Collaborate with cross-functional stakeholders to deliver aligned features
Mentor junior engineering staff
Maintain technical documentation and architectural decision records