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Research Scientist – Robotics & Physical AI

Relocation
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Develop and deploy foundation models for robotics using transformer and diffusion architectures. Collaborate with infrastructure engineers to scale training and adapt policies via imitation and reinforcement learning. Requires strong expertise in PyTorch/JAX, deep learning, and practical robotics experience.

Key Highlights
Focus on pretraining or post-training of robot foundation models
Direct influence on the performance of a deployed commercial robot fleet
Hybrid work model in Zurich with relocation support available
Key Responsibilities
Develop transformer and diffusion architectures that learn from visual observations, robot actions, and state data
Shape datasets, training objectives, and experiments to understand what improves generalisation
Work alongside ML infrastructure engineers to scale training efficiently
Adapt policies through imitation learning, reinforcement learning, fine-tuning, and distillation
Test models on physical robots, investigate failures, and improve reliability in unfamiliar situations
Technical Skills Required
PyTorch JAX Deep Learning
Benefits & Perks
Relocation support
Flexible working hours
Nice to Have
Experience deploying learned policies on real robots

Job Description

Research Scientist – Robotics & Physical AI

📍 Zurich, Switzerland

🏢 Hybrid | Full-time

✈️ Relocation support available

I’m looking for a Research Scientist to join a robotics company developing foundation models using data from robots already operating in commercial environments.

This is an opportunity to take research through to deployment, using real robot behaviour and failures to improve how models learn, adapt and perform.

There’s scope to focus on either pretraining or post-training, depending on your strengths.

What you’ll work on:

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