Expert in Reinforcement Learning and Behavior Cloning for Humanoid Robots

Location: Zurich, Switzerland

Company

hirify.global develops cognitive humanoid robots, including the 4NE1 platform, with a focus on autonomy, adaptability, and human-robot interaction.

What you will do

• Improve the learning pipeline for robust locomotion and loco-manipulation, from policy training through validated on-robot deployment.
• Develop and deploy reinforcement learning and behavior cloning systems using simulated and real-world interactions.
• Drive sim-to-real transfer through domain randomization, actuator modeling, and physics alignment.
• Explore and adapt behavior foundation models, general motion tracking, and teleoperation methods for customer and internal use.
• Collaborate with controls, hardware, and perception teams to integrate algorithms with robot hardware and sensors.
• Run experiments and simulations to evaluate algorithm performance across scenarios.

Requirements

• Master’s or Ph.D. in Robotics, Computer Science, or a related field.
• Proficiency in Python and C++, with hands-on experience in ROS2 and robotic hardware platforms.
• Experience developing and deploying reinforcement learning and behavior cloning algorithms for robotic systems.
• Strong understanding of humanoid robot dynamics, control theory, and sensor integration.
• Hands-on experience with Isaac Lab, Isaac Sim, and/or MuJoCo, as well as PyTorch.
• Perfect command of English and good German communication skills required.

Nice to have

• Publications or contributions to robotics conferences and journals.
• Demonstrated ability to deliver innovative robotics solutions.

Culture & Benefits

• Work closely with robotics engineering, controls, hardware, and perception specialists.
• Contribute to the development of a new generation of cognitive humanoid robots.
• Combine simulation research with deployment on real robotic hardware.