Member of Technical Staff - Software Engineering- Full Stack / Frontend, AGI Autonomy
Posted 307 days ago
Job Description
This job posting has expired and no longer accepting applications.
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!
Key job responsibilities
You will contribute directly to AI agent development by building and operating the frontend systems that power our research platform. You will be hired as a Member of Technical Staff.
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
You will contribute directly to AI agent development by building and operating the frontend systems that power our research platform. You will be hired as a Member of Technical Staff.
This job posting has expired and no longer accepting applications. Please check out our latest AI jobs.
Amazon
139 jobs posted
About the job
Posted on
Apr 9, 2025
Apply before
May 9, 2025
Job typeFull-time
CategoryLLM
Location
US, CA
Skills
AGIreinforcement learningLLMresearch
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