
Research Scientist / Engineer Intern
UMA · Paris, France · Onsite
Mixed hiring record · median 31 days open
All reasons
- Open 340 days
- 38% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
Your Mission
As a Research Scientist/Engineer Intern, you will contribute directly to the core scientific and technical foundations to drive our mission. Working closely with the founding team, you will explore, prototype, and validate cutting-edge ideas into applications that support our long-term roadmap.
Key responsibilities
- Build and ship learning-based control systems that power general-purpose humanoid robots in the real world
- Train and deploy policies using reinforcement learning, imitation learning, and multimodal foundation-model approaches with embodied perception, reasoning and planning
- 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
- Staying on top of relevant academic and industrial trends and identifying promising AI approaches for adoption
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
- Strong academic background in Robotics, AI, Machine learning, computer vision, control systems, or a closely related field (PhD, and exceptional Master’s, or final-year engineering students)
- Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way
- Experience with deep learning for robotics (RL, IL, VLA, or related), plus comfort jumping between code, data, and hardware
- Production-level Python or C++ skills
- Care for details: clean code, reliable experiments, and datasets that don’t crumble under pressure
- Comfortable working in a fast-paced, evolving startup environment
- Excellent communication in English
- Bonus : you’ve tinkered with humanoids before
What You'll Get
- A fast-growing startup environment with autonomy and learning opportunities
- A young, dynamic team where you can make an impact
- Start date : Flexible
- Contract : Internship (3/6 month, under school agreement)
Skills
- Machine Learning
- Computer Vision
- Deep Learning
- Python
- C++
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