Research Scientist in Reinforcement Learning

Job Summary

A company is looking for a Research Scientist, RL for Autonomous Planning & World Modeling.

Key Responsibilities

• Participate in the Foundation World Model post-training and evaluation
• Research and develop cutting-edge reinforcement learning and distillation techniques for autonomous vehicle trajectory planning
• Integrate emerging research from the AI community into the internal RL infrastructure and conduct rigorous ablations

Required Qualifications

• PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field with 3+ years of relevant experience
• Demonstration of original contributions to the field through high-impact publications or significant open-source contributions
• Proficiency in implementing scalable model training flows
• Willingness to work with complex globally distributed inference infrastructure