Join a dynamic start-up in the heart of Paris as an R&D Controls and Machine Learning Engineer. You will be involved in the development of exoskeleton control, focusing on modeling, optimization, trajectory generation, controller synthesis, and reinforcement learning. You will collaborate with the Mechanical and Electronic teams and contribute to the advancement of robotics. This opportunity is expected to start in May 2025.
Résumé suggéré par Welcome to the Jungle
Développer des algorithmes de contrôle avec des stratégies telles que le contrôle linéaire, le contrôle non linéaire, le MPC.
Former des politiques de bout en bout ou hybrides avec l'apprentissage par renforcement.
Écrire un logiciel efficace en C++ et Python, et améliorer la modélisation du système et le réalisme du simulateur.
Within a young and dynamic start-up located in the center of Paris, you will participate in the development of exoskeleton control. This work will include aspects of modeling, optimization, trajectory generation, controller synthesis and/or reinforcement learning. You will be tasked with developing the most robust and safe algorithms to ensure the best possible experience for our users.
Reporting to the Head of Dynamic Walking, you will be integrated in the Controls team and will collaborate with the Mechanical and Electronic teams to implement the most recent approaches of robotics.
Your main activities will for example be (non-exhaustive list):
Develop controls algorithms with strategies like linear control, non-linear control, MPC
Train end-to-end or hybrid policies with reinforcement learning
Optimize trajectories offline and online
Write efficient software in C++ and Python
Improve system modeling and simulator realism
Develop state estimation algorithms
Participate in the team’s tests on the exoskeleton
Diploma: Master’s or PhD degree in Controls, Machine Learning, Optimization, Applied mathematics, or related scientific field
Required experience: projects on robotics system controls and/or Machine Learning
Skills
Programming (C++/Python): autonomous
Algorithmics: autonomous
Robotics (kinematics, dynamics, working with sensor data): autonomous
Control theory: autonomous
Machine learning: autonomous
How to apply
Submit your application by clicking on the “Apply” button below
To validate your application, we would like you to demonstrate your interest in programming and problem solving by passing a “challenge”:
Solve the challenges to obtain 2 stars on the first 4 levels
Send us your solutions by replying to the “application received / candidature bien reçue” email that was sent to you after you applied. We expect the solutions found for each level (i.e. 8 integer numbers), as well as your source code (github link, or files directly attached to the email, uncompressed).
We look forward to meeting you!
This job offer is also available in French language on request.
Rencontrez Maxime, Head of Mechanical Engineering
Rencontrez Matthieu, CEO
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