ID	5632
Sparte	Softwareentwicklung
Titel	Machine Learning Engineer (f/md)
Arbeitsort	Zürich
Aufgaben	Develop, train, and iterate on reinforcement learning policies for humanoid locomotion and manipulation Analyze training metrics and experiment results from simulation and real robots, identify issues, and propose follow-up actions Investigate sim-to-real gaps and develop approaches to improve the transfer of learned policies to real robots Develop machine learning solutions in Python using frameworks such as PyTorch, TensorFlow, or JAX Build and maintain RL/IL training pipelines, including environments, curricula, normalization, and evaluation Evaluate learning algorithms and adapt them to the specific problem at hand, with support from experienced team members Work collaboratively in a multicultural and interdisciplinary environment on a novel humanoid robot Proactively identify opportunities for improvement and contribute ideas to the team
Anforderungen	What we are looking for PhD/MSc in Robotics, Computer Science, or a related technical field Python programming skills and experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX Ability to independently write and debug basic C++ code Hands-on experience developing and training reinforcement learning policies Experience with imitation learning or related learning-based methods is a plus Ability to interpret training metrics and experimental results and use them to guide the next iteration Understanding of sim-to-real challenges in robotics and approaches to address them Autonomous and proactive working style, with a strong drive to experiment, learn, and solve problem Nice to have Experience working with real robots Experience with modern RL/IL/ML approaches, such as transformers or cross-embodiment transfer learning Experience with Isaac Sim or other standard RL simulators Experience working independently with ROS2, including writing nodes and debugging interactions between them Decent C++ programming skills Experience defining objectives for your work and integrating them into a broader team plan or owning an epic
Sprachen	Englisch C1 / Deutsch C1