Robotics Machine Learning Engineer

il y a 2 semaines


Paris, France Enchanted Tools Temps plein

**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:
**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.

**Profile**:

- 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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