Senior ML Engineer (f/m/d)

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