Job Description

#

Where Humans Meet Machines

Your Role & Responsibilities

Design and develop state-of-the-art machine learning methods for whole-body control of next-generation humanoid robotic systems Build scalable training pipelines for reinforcement learning and imitation learning at industrial scale Collaborate closely with robotics control engineers, perception teams, and software developers to integrate ML-driven control into a complex real-world robot stack Contribute across the full development lifecycle -- from early research prototypes to robust, production-ready controllers Deploy ML-based controllers on physical humanoid robots and iterate through hands-on testing, evaluation, and optimization Provide technical leadership, mentorship, and guidance within a multidisciplinary R&D environment Join an agile, fast-moving team at the intersection of robotics, autonomy, and advanced industrial technology

Required Technical & Professional Expertise

MS or PhD in Computer Science, Robotics, Mechanical Engineering, or a related field 5+ years of experience developing and deploying machine learning models, ideally in robotics or control systems Deep expertise in reinforcement learning, imitation learning, or learning-based control for robotic platforms 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) and the ability to collaborate closely with cross-functional robotics teams * Proficiency in English; basic German skills are a plus