Lead Engineer, Reinforcement Learning & Scenario Generation

The Lead Engineer, Reinforcement Learning & Scenario Generation at Serve Robotics is responsible for developing scalable training pipelines and generating high-fidelity synthetic scenarios to improve the performance and safety of robotic delivery systems. This role involves designing and optimizing reinforcement learning algorithms, procedural simulation environments, and automated tools for experiment orchestration, while collaborating with various teams to create realistic training scenarios and validate their effectiveness. The position requires extensive experience in robotics, machine learning, and simulation environments, with a focus on real-world application and performance optimization.