Member of Technical Staff - Reinforcement Learning, AGI Autonomy
Amazon · San Francisco, CA · Applied Science
About this role
Amazon is hiring a staff-level Staff Engineer in the software engineering function based in San Francisco, CA. The posting calls out experience with Python, Java, TensorFlow, PyTorch and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Staff Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco, CA
- Experience
- 5+ years
- Education
- Master's degree
- Department
- Applied Science
- Posted
- Nov 3, 2025
More roles at Amazon
Job description
from Amazon careersThe 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 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 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…