Amazon Autonomy is a research lab based in San Francisco with the charter to develop state of the art browser use agents at scale. Our research leverages Large Language Models (LLMS) and reinforcement learning (RL) algorithm at scale and benefits from the ability to work Amazon’s scale and a startup’s agility.
As a Member of Technical staff (MTS) on the gym pod, you’ll be responsible for helping develop the training environments, tasks, and integrations needed to scale our data and drive core model capabilities. You’ll work closely with our researchers and given the autonomy to drive significant outcomes.
This role is for you if you have a learner’s mindset, enjoy building at the frontier of what’s possible, and thrive in a collaborative fast-paced environment.
Key job responsibilities
Responsible for developing approaches to scale our RL environment from hundreds of web applications and tens of thousands of tasks to thousands of web applications and hundreds of thousands of tasks.
Core Engineering:
Architect and deliver robust software solutions throughout the development lifecycle
Develop agentic harnesses that run autonomously with high accuracy
Engineer and optimize high-performance systems at scale with modern TypeScript and Python
Collaboration & Leadership:
Collaborate with cross-functional stakeholders to deliver aligned features
Mentor junior engineering staff
Maintain technical documentation and architectural decision records
