Description

In this role, you will design cutting-edge machine learning methods for humanoid robots, collaborate with diverse teams, and lead the development of scalable training pipelines. Your work will involve hands-on testing and optimization, ensuring the integration of ML-driven control in real-world applications.

Requirements

• •MS or PhD in Computer Science, Robotics, Mechanical Engineering, or related field
• •5+ years of experience developing and deploying machine learning models
• •Deep expertise in reinforcement learning, imitation learning, or learning-based control
• •Proven experience deploying ML-based control methods on robotic hardware
• •Strong proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX
• •Solid programming skills in Python; experience with C++ is an advantage
• •Familiarity with robotics frameworks and tools (e.g., ROS2, Omniverse)
• •Proficiency in English; basic German skills are a plus

Tasks

• •Design and develop advanced machine learning methods for humanoid robot control
• •Build scalable training pipelines for reinforcement and imitation learning
• •Collaborate with robotics control engineers and software developers
• •Integrate ML-driven control into complex robotic systems
• •Contribute to the full development lifecycle from prototypes to production-ready controllers
• •Deploy ML-based controllers on humanoid robots
• •Conduct hands-on testing, evaluation, and optimization
• •Provide technical leadership and mentorship in a multidisciplinary R&D environment
• •Work within an agile team focused on robotics and advanced industrial technology

Tools & Technologies