The Robot Learning Engineer role at EASE involves transforming human motion data into skills for humanoid robots, facilitating collaborative tasks between humans and robots. The position requires mapping human motion to humanoid kinematics, training robots using reinforcement learning, and evaluating performance in simulated environments. Candidates should have a Master's or PhD in a relevant field and experience with real robots.