Research Scientist: Post-Training

In This Role

You will build the base intelligence layer for robotics, training large-scale force-aware foundation models to unlock dextrous manipulation, generalizing across tasks and environments.

• Design and execute large-scale pre-training runs for robot foundation models, defining the architectures, objectives, and training curricula that push AI-driven manipulation beyond pixels to actions.

• Own experiments end-to-end, from data specification through training to real-robot evaluation, to understand scaling laws, data quality effects, and architecture tradeoffs.

• Build data mixes and evaluation sets to train and assess robots on novel, high-precision tasks, across real-world and simulated settings.

• Research methods for improving sample efficiency and robustness, ensuring learned policies generalize reliably from training to real-world deployment.

What We're Looking For

• Deep experience developing large-scale predictive or generative models - including RSSM-style, JEPA, transformer, or diffusion/flow-based architectures.

• Strong probability, statistics, and ML fundamentals, paired with the ability to design rigorous experiments and separate real signal from noise or bugs in experimental data.

• PhD or equivalent research experience with a proven record of research accomplishments in machine learning, computer vision, data-science, robotics and other related fields

• Strong fundamentals in ML computing frameworks like PyTorch or JAX, with familiarity in optimizing for performance and efficiency at scale.

• Motivated to see general-purpose robotic intelligence deployed in the real world.
  

Bonus Points If You Have

• Prior experience working with real robot hardware

• Led or made significant contributions to multi-node, multi-GPU distributed training efforts.

• Experience designing or scaling data collection, annotation and mixing pipelines

• Track record of open-source contributions or released models/datasets.

• Publications at top robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR).
  

What we offer

• The opportunity to make a real impact working on some of the biggest challenges of our time

• A fast-paced learning environment alongside an outstanding, driven team

• Ownership from day one, with the ability to iterate quickly and see your impact firsthand in an early-stage startup

• Visa sponsorship & relocation benefits to hire the best in the world

• A world-class in-person setup in central Zürich, with excellent prototyping, robotics, and technical infrastructure for hands-on builders

• Competitive compensation and meaningful equity participation