Robotics Machine Learning Engineer

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;

• AI, NLU, NLP, ASR, TTS;

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

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

To know more about us, click here:

https://enchanted.tools/

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.