Reinforcement Learning Engineer

📋 Description Architect sophisticated neural network topologies and RL algorithms for whole-body locomotion and Develop high-performance policies and training pipelines for deployment on physical hardware. Collaborate with hardware and controls teams to diagnose issues and enable complex learned 🎯 Requirements Hands-on RL experience (3+ years) with PyTorch or JAX and high-fidelity simulators (MuJoCo Strong Python for prototyping and C++ for performant deployment. Experience building large-scale distributed training pipelines and optimizing them. Deep understanding of RL, imitation learning, model-based RL, and sim-to-real transfer. Solid intuition for robot dynamics and controls theory. Proven track record deploying learning-based policies on physical robotics systems.