Research Scientist / Engineer Intern

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)