Research Engineer - Embodied World Models
UMA· World Models
Paris, Francefull-timePosted 3mo ago
About the role
Research Engineer on the World Models team at UMA to develop and deploy world-models for humanoid robots in real-world and simulated settings, turning research ideas into working systems with pipelines, baselines, and experiments.
Responsibilities
- Implement and reproduce state-of-the-art world-model baselines, run ablations and run them on real robots.
- Build and own the training, data and evaluation pipelines for self-supervised learning on video and action data.
- Bring latent-space planning and model-predictive control experiments to life on real hardware and in simulation.
- Profile, debug and scale distributed training runs, keep every experiment clean, logged and reproducible.
Qualifications
- Strong software engineering and machine learning fundamentals
- Fluent in Python and PyTorch, comfortable with distributed/GPU training
- Solid grasp of self-supervised representation learning; exposure to video models, RL, planning or robotics is a plus
- MSc or PhD in ML, CS, robotics or related field (what you’ve built and shipped matters)
- Experience with world models (e.g. JEPA) is highly valued
- Curiosity, rigor, and a bias for getting things working
- Bonus: experience in early-stage startups or core teams of big companies building humanoids or highly-dexterous robots
Skills
Required:PythonPyTorchSelf-supervised representation learning
Nice to have:Video models / RL / planning / robotics exposureWorld models (e.g. JEPA)
Last updated Jul 23, 2026. Interested? Apply on the company site.
About UMA
UMA - Building intelligent robots that enhance quality of life for everyone
At UMA, we develop AI and robotics dedicated to shaping a new economic and societal era. We design general-purpose mobile and humanoid robots with human-level dexterity and a deep understanding of the physical world.
AIBuilding the futureDeep LearningGeneral-purpose robotsLeRobotRoboticsheadline-ai-europe-100-2026intelligent-hardware
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