Robotics Machine Learning Engineer


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About  Enchanted Tools

Change the face of robotics with us.

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, by tackling concrete issues and needs.

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;

  • Our founder is a pioneer: Jérôme Monceau was the lead designer of both Nao and Pepper, and the Executive VP of Aldebaran / Softbank Robotics;

  • Our team gathers in the middle of Paris more than 50 robotics virtuosi and as many dreamers.

As a member of Enchanted Tools, you will thrive in a multicultural team, with a complete multidisciplinary approach:

  • Mechatronics, impedance control, robotics arm, haptics;

  • Electronics;

  • Character design, UI/UX;


  • Software architecture (system, embedded, cloud...);

  • Machine learning, image processing, sensor fusion, data collection…

To know more about us, click here:

Job description

At Enchanted we are making robots that move and act around people by leveraging advanced model- and learning-based methods for planning and control.

We are looking for a motivated software engineer with a background in machine learning to join our team. In this role, you will contribute to developments that improve a range of activities, from planning to navigation and control.
Your task is to analyse and approach these challenges from a machine learning perspective using both conventional ML or deep ML methods to improve the robustness and efficiency of our system.

  • Build, train, evaluate, and deploy machine learning algorithms for robotic planning and control.

  • Implement ML-based signal processing techniques on noisy sensors to improve their usability.

  • Analyze the system and identify compnents where ML could be used to improve the overall performance.

  • Assist in setting up our MLOps pipeline.


  • Excellent problem-solving skills.

  • 3+ years of ML engineering experience.

  • 3+ years experience with programming in Python.

  • Strong understanding of linear algebra and statistics.

  • Strong understand of robotic problems (preferably mobile robotics).

  • Experience in traditional (non deep) ML methods is a plus.

  • Hands-on experience in PyTorch or TensorFlow/Keras.

  • Proactive team player.

  • Passionate about continuous learning and research in AI/ML.

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