Reinforcement Learning Expert - Humanoid (human)

The role

You will lead the development and implementation of reinforcement learning and behavior cloning algorithms for humanoid robots. You will work to improve the learning pipeline for locomotion and loco-manipulation on the 4NE1 humanoid.

What you will do

• Improve the learning pipeline for robust locomotion and loco-manipulation on the 4NE1 humanoid
• Explore and adapt cutting-edge methods and ship to customers and other teams
• Drive sim-to-real transfer to deploy policies from simulation onto real hardware
• Integrate reinforcement learning and behavior cloning approaches
• Collaborate with controls, hardware, and perception teams
• Conduct experiments and simulations to evaluate and validate algorithmic performance

Required qualifications

• Master’s or Ph.D. in Robotics, Computer Science, or a related field
• Proficiency in programming languages like Python, C++
• Hands-on experience in robotics frameworks (e.g., ROS2) and robotic hardware platforms
• Experience in developing and deploying reinforcement learning algorithms and behavior cloning techniques for robotic systems
• Strong grasp of humanoid robot dynamics, control theory, and sensor integration
• Hands-on experience with Isaac Lab / Isaac Sim and/or MuJoCo, and PyTorch
• Strong analytical skills
• Proven ability to deliver innovative solutions in robotics
• Perfect command of the English language
• Speak German well

Nice to have

• Track record of publications or contributions to conferences and journals

About the company

NEURA Robotics is working on a new era of cognitive robots.