Embodied World Models Scientist for Humanoid Robotics

UMA; Paris; On-site; EUR 70,000 - 110,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

World models

Planning

Self-supervised learning

Reinforcement learning

Video modeling

Education

PhD in robotics or related field

Job description

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.