Member of Technical Staff, AGI Autonomy

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 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
Core Engineering:
Architect and deliver robust software solutions throughout the development lifecycle
Design and implement applications using modern TypeScript and Python
Build and deploy cloud- applications and RESTful APIs
Engineer and optimize high-performance systems at scale

Collaboration & Leadership:
Collaborate with cross-functional stakeholders to deliver aligned features
Conduct code reviews and provide constructive feedback
Mentor junior engineering staff
Maintain technical documentation and architectural decision records

:
Assume technical leadership and guide architectural decisions
Manage PostgreSQL (or equivalent) databases in production
Implement observability, monitoring, and testing frameworks
Enhance product quality with focus on UX and DX
Build evaluation frameworks to inform data-driven decisions
Design and analyze A/B tests using statistical methodologies
Contribute to machine learning initiatives and architect scalable AI pipelines