About the job
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).
Responsibilities
Design, maintain, and enhance tools and workflows that support cutting-edge research
Adapt quickly to evolving research priorities and team needs
Stay informed on the latest advancements in large language models and related research
Collaborate closely with researchers to develop new techniques and tools around emerging agent capabilities
Drive project execution, including scoping, prioritization, timeline management, and stakeholder communication
Thrive in a fast-paced, iterative environment, delivering high-quality software on tight schedules
Apply strong software engineering fundamentals to produce clean, reliable, and maintainable code
Qualifications
Minimum
Are 18 years of age or older
Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields, with an expected graduation date after October 2026
Preferred
Hands-on experience in academic labs, industry internships, and/or open source development
Demonstrated ability to own an ambiguous project end-to-end, i.e., writing code, designing experiments, and interpreting results
Capacity to work autonomously and with a small team to drive research progress