(M/W) R&D Controls and Machine Learning Engineer

  • Paris
  • Full-Time
  • Start Date: 05 May 2025
  • Apply Now

About

Wandercraft provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

Wandercraft aims to restore the ability to stand up and walk to individuals with limited mobility, providing an ordinary life for extraordinary people. To achieve this, we have created the Atalante X exoskeleton.

Used for locomotor rehabilitation in hospitals, this medical device is the first exoskeleton in the world to incorporate innovative autonomous stabilization technology, allowing hands-free movement.

Leveraging our expertise in robotics, artificial intelligence, biomedical engineering, and the advancements of Atalante X, we are developing a personal exoskeleton to help users regain independence at home, on the street, and in everyday life.

Our main objective today is to develop the first self-stabilizing personal exoskeleton for daily use, both in the home and out in the world.

Based in the heart of Paris and New York, our team of over one hundred people collaborates with leading university laboratories and top medical teams worldwide.

Join us to transform the lives of individuals with limited mobility through technology!

Job Description

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

Preferred Experience

  • 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

As part of an ongoing structuring project, we anticipate a future need within our R&D teams. We are opening this opportunity now to meet interested candidates and build a talent pool in advance.

If this topic resonates with you, it's the perfect time to connect!

Opportunity expected in May 2025.

How to apply

  1. Submit your application by clicking on the “Apply” button below

  2. To validate your application, we would like you to demonstrate your interest in programming and problem solving by passing a “challenge”:

* Go to https://adventofcode.com/

* 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.

Additional Information

  • Contract Type: Full-Time
  • Start Date: 05 May 2025
  • Location: Paris
  • Education Level: Master's Degree
  • Occasional remote authorized
Apply Now

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