Senior ML Engineer

Vor 2 Tagen

Zürich, Zürich, Schweiz Consulteer Vollzeit
Where Humans Meet MachinesYour 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

What You'll Get

  • Flexible working hours and hybrid work model supporting real work-life balance

  • 25–30 vacation days depending on age

  • CHF 500 annual mobility credit for sustainable commuting

  • Attractive bonus system & strong pension contributions

  • Tailored learning and development programs

  • Relocation support for international hires

  • Discounts across health, mobility, and entertainment partners

  • Engaging team events, flat hierarchy, and a supportive international culture built on respect and collaboration

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