Applied Robot Learning Engineer / RL Specialist

This role focuses on applying reinforcement learning and policy optimization to improve the performance of VLA/world models and develop robust policies for complex manufacturing tasks on physical robotic systems. The position requires hands-on experience deploying learning-based policies, addressing sim-to-real challenges, and working directly with robotic hardware for manipulation and failure recovery. Approximately 80% of the role involves applied engineering and deployment, while 20% is dedicated to research and technical exploration.