Robotics ML Research Engineer for Real-World Deployment

Nomagic; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Relocation package

Flexible working hours

English-speaking environment

Zusammenfassung

Nomagic in Zürich, Switzerland, is seeking a Research Engineer to bridge the gap between world-class ML research and real-world robotic execution. You will focus on large-scale multimodal model training, design infrastructure for training models, and evaluate robotic task capabilities. Candidates should have extensive experience in machine learning, systems engineering, and robotics, alongside strong Python programming skills. The role offers flexible working hours and a relocation package.

Qualifikationen

• Deep experience and understanding at the intersection of machine learning, systems engineering, and robotics.
• Experience training, fine-tuning, and deploying modern deep learning architectures for robot control.
• Strong software engineering and infrastructure skills, proficient in Python and deep learning frameworks.
• Comfort working hands-on with hardware and debugging software-physical interactions.
• Ability to move seamlessly between research and implementation, focusing on execution and robustness.

Aufgaben

• Focus on Robotics and ML and large-scale multimodal model training.
• Design, implement, and maintain core infrastructure for model training.
• Build tools for launching, monitoring, and debugging complex experiments.
• Design new robotic tasks to evaluate model capabilities.
• Analyze real-world evaluation results to guide ML research.

Kenntnisse

Machine learning

Robotics

Systems engineering

Software engineering

Python

Deep learning frameworks (PyTorch/JAX)

Imitation Learning

Reinforcement Learning (RL)

Jobbeschreibung

Nomagic in Zürich, Switzerland, is seeking a Research Engineer to bridge the gap between world-class ML research and real-world robotic execution. You will focus on large-scale multimodal model training, design infrastructure for training models, and evaluate robotic task capabilities. Candidates should have extensive experience in machine learning, systems engineering, and robotics, alongside strong Python programming skills. The role offers flexible working hours and a relocation package.