Senior ML Engineer

vor 8 Stunden


Zurich, Schweiz Consulteer Vollzeit

Where Humans Meet MachinesYour Role & ResponsibilitiesDesign and develop state-of-the-art machine learning methods for whole-body control of next-generation humanoid robotic systemsBuild scalable training pipelines for reinforcement learning and imitation learning at industrial scaleCollaborate closely with robotics control engineers, perception teams, and software developers to integrate ML-driven control into a complex real-world robot stackContribute across the full development lifecycle — from early research prototypes to robust, production-ready controllersDeploy ML-based controllers on physical humanoid robots and iterate through hands-on testing, evaluation, and optimizationProvide technical leadership, mentorship, and guidance within a multidisciplinary R&D environmentJoin an agile, fast-moving team at the intersection of robotics, autonomy, and advanced industrial technologyRequired Technical & Professional ExpertiseMS or PhD in Computer Science, Robotics, Mechanical Engineering, or a related field5+ years of experience developing and deploying machine learning models, ideally in robotics or control systemsDeep expertise in reinforcement learning, imitation learning, or learning-based control for robotic platformsProven experience deploying ML-based control methods on robotic hardwareStrong proficiency with ML frameworks such as PyTorch, TensorFlow, or JAXSolid programming skills in Python; experience with C++ is an advantageFamiliarity with robotics frameworks and tools (e.g., ROS2, Omniverse) and the ability to collaborate closely with cross-functional robotics teamsProficiency in English; basic German skills are a plus



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