Staff / Senior Machine Learning Engineer, Reinforcement Learning
Core
Advance reinforcement learning methods for end-to-end driving models and develop learned emergency trajectory models for safe, driverless operation.
Role type
Staff / Senior Machine Learning Engineer (Reinforcement Learning)
Builds
Robust closed-loop driving behavior and emergency trajectory models for autonomous vehicles
Domain
Autonomous Vehicles / Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning (policy/value learning, off-policy, function approximation), Behavior cloning, Python, PyTorch, Experimental design and evaluation, Software engineering for ML systems
Preferred skills
Offline reinforcement learning, Imitation learning, Reward modeling, Autonomous vehicle dynamics and control, Closed-loop simulation, C++/CUDA optimization
Technologies
PyTorch, Python, C++, CUDA
Responsibilities
Shape and execute the RL roadmap for driving core and safety teams; Develop and evaluate post-behavior-cloning optimization methods; Improve reward models and learning signals; Build robust training and experimentation workflows; Define evidence across offline metrics, simulation, and on-road evaluation; Productionize successful methods and mentor the team
Seniority
Staff / Senior, hands-on IC with technical ownership
