Internship - Humanoid Reinforcement Learning

Change the face of robotics with us!

Enchanted Tools / Changing the face of robotics

At Enchanted Tools, we are bringing a new generation of robots to life.
Combining world-class engineering expertise and the power of imagination, we plan to make everyone’s life better with robotic characters. Our robots can glide, grasp and interact with their environment, tackling concrete issues and needs.

Founded in 2021, we are now 100 enchanters, working in different fields (Robotics, AI, Product Design, Project Management, Production, Quality, Supply chain, Finance, Marketing, HR, Sales, ...) and we keep growing, thanks to our strong relationships with a variety of investors and partners.

We revealed our two prototypes to the world and are now ready for the next steps of our adventure: industrialize our production, starting with a pilot line at the heart of Paris, then building a plant, and selling our robots globally. We built a whole ecosystem and rely on well-established partnerships to achieve our ambitious projects. We are looking for passionate, creative and curious experts to join us. 

Why you should join us:

• You will have a unique opportunity to work on next-gen robots, cracking technological lockers of interaction, grasping, and navigation;

• You will be an early player of a super ambitious and fast-growing adventure, that proved its ability to turn dreams into reality;

• Our team are all experts in their field, coming from diverse and international backgrounds

As a Reinforcement Learning Intern, you will help develop and implement learning-based navigation and control algorithms for the Mirokai humanoid robot, which balances dynamically on a ball. You will work closely with the team to extend our simulation environments, train agents, and validate policies on real hardware. This internship offers deep hands-on experience in RL for real-world robotics — from simulation to deployment.

What You’ll Be Doing

• Develop, debug, and test reinforcement learning algorithms for locomotion and navigation on a dynamically balancing base.

• Extend simulation environments (Isaac Sim / Isaac Lab) to support training and evaluation of RL policies.

• Integrate trained policies into the Mirokai software stack and validate them on physical robots.

• Analyze performance, stability, and sim-to-real transfer aspects.

• Stay up to date with recent research in reinforcement learning for robotics.

• BSc holder in Robotics, Engineering, Computer Science, or related field.

• Coursework or project experience in reinforcement learning or learning-based control.

• Strong Python skills and knowledge of a deep learning framework PyTorch, JAX, or TensorFlow.

• Familiarity with simulation environments such as Isaac Sim, Mujoco, or Gazebo.

• Solid analytical and problem-solving abilities.

This might not be the right role for you today if:
You need a very structured environment and framework.
It’s precisely because we’re not over-processed that we’ve been able to stay creative and innovative and deliver a unique prototype in just one year.

What happens once you apply?
We’re committed to getting back to you within two weeks. If the answer is no, please reach out again after gaining new professional experience.

If it’s a yes, the process begins:

1. A 45-minute technical interview with the manager

2. A practical case study (optional)

These interviews can be conducted entirely via video call, but we warmly invite you to visit your potential future colleagues, the Mirokaï, in our Paris office!

Don’t wait any longer — join us!