Member of Technical Staff, PMT Research, AGI Autonomy

About the role

We're a new research lab in San Francisco, currently focused on developing new foundational capabilities for enabling useful AI agents. We're pursuing several key research bets that will enable AI agents to perform real-world actions, learn from human feedback, self-course-correct, and infer our goals. In particular, we are really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and generalizing agents to physical environments. Our work builds on that of Amazon's broader AGI team, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). We're 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 AI agents are the next playing field; the right research bets can reinvent what's possible with AI. We'd love for you to join our new lab and build it from the ground up!

Key job responsibilities

• Define and prioritize tooling roadmaps that support data collection, model evaluation, and release processes, balancing custom builds
• Bridge research and engineering by translating complex technical needs from researchers into actionable product requirements, ensuring tools address real-world bottlenecks and scale workflows

Basic Qualifications

• Deep technical expertise and detailed understanding of neural networks, large language models, reinforcement learning, model evaluation, data annotation
• Experience building products for highly technical users
• Love for ambiguity and creating something new from scratch
• Outstanding ability to clearly articulate product vision and requirements in written documents

Preferred Qualifications

• Interest in AI agents - bonus if you've worked in the space (either formally or through side projects)

Pay

The base pay for this position ranges from $150,000/year in our lowest geographic market up to $325,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.