Member of Technical Staff - Machine Learning Engineer, AGI Autonomy

Amazon.com, Inc.•San Francisco, CA

32d

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!

Requirements

3+ years of industry experience on a machine learning team
Proficiency in Python, Java, C++, or related language
Experience with deep learning methods and tools, e.g., PyTorch, JAX

Nice To Haves

Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications
Willingness to step outside typical role boundaries to get things done - every member of technical staff is expected to write code, design experiments, and interpret results
Capacity to work autonomously and with a small team to drive research progress

Responsibilities

You will contribute directly to AI agent development in a research engineering role: running experiments, building tools to accelerate scientific workflows, and scaling up AI systems.
You will be hired as a Member of Technical Staff.

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