Member of Technical Staff - Reinforcement Learning, AGI Autonomy

The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.

The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.



Key job responsibilities
- Develop cutting edge multimodal Large Language Models (LLMs) to observe, model and derive insights from manual workflows for automation
- Work in a joint scrum with engineers for rapid invention, develop cutting edge automation agent systems, and take them to launch for millions of customers
- Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI
- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
- Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team