Senior/Staff Deep Reinforcement Learning Engineer
Core
Design, train, and deploy deep reinforcement learning policies for real-time autonomous vehicle driving decisions.
Role type
Senior/Staff Deep Reinforcement Learning Engineer
Builds
Real-time autonomous delivery systems using learned planning and prediction models
Domain
Autonomous driving / Robotics
Deliverable
production ML models
Required skills
Deep reinforcement learning, JAX, GPU-accelerated simulation, distributed training infrastructure, policy gradients, value functions, model-based RL, sim-to-real transfer, AI coding tools
Preferred skills
Publications at top ML/robotics venues, building GPU-accelerated simulators, shipping learned components in production robotics stacks
Technologies
JAX, GPU clusters, AI coding tools (Claude Code, Codex, Cursor)
Responsibilities
Formulate complex driving tasks as RL problems with well-shaped reward functions; Design and train model-based deep RL agents at massive scale; Build and maintain distributed training infrastructure; Build agentic optimization systems for automated experimentation and policy iteration
Seniority
Senior/Staff, hands-on IC