Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning

What You’ll Do:

• Design, develop, and deploy learned behavior models using approaches such as reinforcement learning, behavior cloning, and imitation learning
• Own end-to-end model development for scoped problem areas, from data ingestion and training to evaluation and deployment
• Write production-quality ML code to support scalable training, evaluation, and inference workflows

What You’ll Need to Succeed:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
• Experience applying reinforcement learning, imitation learning, or sequence modeling to robotics, autonomous systems, or complex control problems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code

Bonus Points:

• Experience in autonomous driving, robotics, or simulation-based training environments
• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray)
• Experience working with simulation environments, scenario generation, or large-scale behavior datasets