Embodied World Models Scientist for Humanoid Robotics

UMA

Paris

Sur place

EUR 70 000 - 110 000

Plein temps

14 jours+

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Résumé du poste

UMA is pioneering physical AI for humanoid robots. As a Research Scientist on the World Models team, you will own end-to-end research to enable planning, reasoning, and prediction of action outcomes in real robots.

You will collaborate with teams that built robots at Tesla Optimus, DeepMind, Google Brain, and HuggingFace. You’ll work on world-models, self-supervised pretraining, and integrating research with the control stack to ship real products in industrial settings.

Qualifications

  • PhD (or equivalent industry research track) in robotics or related fields with papers or shipped systems.
  • Experience with large-scale training, efficient inference and fast experimentation.
  • End-to-end ownership mindset and ability to ship real products.

Responsabilités

  • Design, run, and analyze experiments on world models, planning, and reasoning in simulation and real-world benchmarks.
  • Own the stack from data processing, model training to evaluation on real robots.
  • Advance self-supervised pretraining across video and action data for real-world manipulation and locomotion.
  • Integrate with hardware, work with control stack, debug closed-loop behavior, and iterate in real-world conditions.
  • Document and present findings, mentoring engineers turning research into products.

Connaissances

World models
Planning
Self-supervised learning
Reinforcement learning
Video modeling

Formation

PhD in robotics or related field

Description du poste

UMA is pioneering physical AI for humanoid robots. As a Research Scientist on the World Models team, you will own end-to-end research to enable planning, reasoning, and prediction of action outcomes in real robots.

You will collaborate with teams that built robots at Tesla Optimus, DeepMind, Google Brain, and HuggingFace. You’ll work on world-models, self-supervised pretraining, and integrating research with the control stack to ship real products in industrial settings.

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