Research Scientist / Engineer

UMA; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

UMA in Paris is seeking an experienced engineer to build and ship control systems for humanoid robots in real-world applications. You will be responsible for training and deploying policies using advanced machine learning techniques while working closely with a talented team.

The ideal candidate brings 3 to 5 years of hands-on experience in robotics or machine learning, with solid skills in Python or C++. UMA values diverse backgrounds and encourages applicants who are passionate about building impactful technologies.

Qualifications

• 3/5+ years of hands-on contributions in robotics, ML, or similar.
• Solid experience with machine learning for robotics (RL, IL, VLA, or related).
• Production-level Python or C++ skills.

Responsabilités

• Build and ship learning-based control systems for humanoid robots.
• Train and deploy policies using reinforcement and imitation learning.
• Work side-by-side with engineers and scientists to build reliable systems.

Connaissances

Machine learning for robotics

Python

C++

Description du poste

Your Mission

• Build and ship learning-based control systems that power humanoid robots in the real world.
• Train and deploy policies using reinforcement learning, imitation learning, and multimodal foundation-model approaches with embodied perception.
• Hack on simulation and real-world setups to close the sim-to-real gap and move faster from experiment to deployment.
• Dig into the full robotics stack to chase down latency, bottlenecks, and weird failure modes.
• Create intuitive teleoperation and human-in-the-loop tools to accelerate data collection and evaluation.
• Work side‑by‑side with a small team of engineers and scientists who care about moving fast and building things that last.

What You Bring To The Table

• A strong drive to get humanoid robots working in the messy real world—not just in papers or demos.
• Ability to take full ownership: spotting problems, proposing solutions, and pushing them through to deployment.
• Solid experience with machine learning for robotics (RL, IL, VLA, or related), plus comfort jumping between code, data, and hardware.
• Production‑level Python or C++ skills.
• 3/5+ years of hands‑on contributions in robotics, ML, or similar—whether from industry projects, research labs, or your own builds.
• Care for detail: clean code, reliable experiments, and datasets that don’t crumble under pressure.
• Bonus: you’ve tinkered with humanoids before.

UMA is an inclusive workplace that values exceptional builders over perfect pedigrees. Whatever your background, identity, or journey, if you don't meet every criterion but believe you can have an outsized impact here, we strongly encourage you to apply.