Reinforcement learning intern Jobs

Enchanted Tools

Location:
France, Paris

Category:
Research and Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

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

Additional Information:

Job Posted:
December 08, 2025

Work Type:

On-site work

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Reinforcement learning intern