Amazon-posted 8 days ago
$48 - $96/Yr
Intern
San Francisco, CA
5,001-10,000 employees

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! About the team The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.

  • 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
  • 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
  • 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
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