About the position
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 language 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 generation 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!
Responsibilities
- Contribute directly to AI agent development by building and operating the backend systems that power our research platform.
Requirements
- 3+ years of professional engineering experience (no direct AI experience required)
- Track record of writing and shipping backend code
- Experience developing cloud-native applications and infrastructure
- Proficiency with PostgreSQL or equivalent database in production
Nice-to-haves
- Bachelor's degree in Computer Science or related field
- Experience as a tech lead or engineering mentor
- Knowledge of Kubernetes, AWS, CDK, data pipelines, and/or ETL
- Familiarity with TypeScript, React, and frontend web development
- Expertise across the software development life cycle, including code standards, reviews, source control management, build processes, testing, and operations
- Excellent problem-solving skills to move fast in a dynamic environment, with a focus on code quality, testing, and performance optimization
Benefits
- Medical, financial, and/or other benefits
- Equity and sign-on payments as part of total compensation package
