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;
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:
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.