New Research Engineer, Robotics

Mistral AI Mistral AI · AI Frontier · Paris, France · Research

Research Engineer on the Robotics team responsible for deploying and refining state-of-the-art AI models for mobile manipulation on real robots, bridging the gap between research and real-world applications. This involves architecting data pipelines, maintaining robot fleets, and collaborating with cross-functional teams.

What you'd actually do

  1. Deploy state-of-the-art AI models for mobile manipulation on real robots in production environments.
  2. Architect and optimize data pipelines to support the training of advanced robotics models on large-scale datasets.
  3. Set up, maintain, and scale fleets of robots, ensuring their operational readiness and reliability.
  4. Design and conduct experiments to validate robotic systems in real-world conditions.
  5. Collaborate with engineers and researchers to refine models and improve system performance.

Skills

Required

  • Hands-on experience developing software for real-world robotics applications.
  • Mastery of Python and a strong background as a software developer.
  • High engineering competence, with the ability to design complex systems and deploy them in production.
  • Experience with robotic control frameworks, such as ROS, and proficiency in sensor integration and actuator control.
  • Knowledge of control theory, machine learning, or computer vision as applied to robotics.

Nice to have

  • A self-starter mindset, with the autonomy to drive projects forward and the adaptability to collaborate effectively.
  • Experience with robotics simulators, hardware development, or maintaining large codebases.
  • A proactive approach, with a focus on delivering results and continuously improving systems.

What the JD emphasized

  • deploy
  • real robots
  • production environments
  • training
  • large-scale datasets
  • maintain
  • scale fleets
  • real-world conditions
  • refine models
  • improve system performance

Other signals

  • Deploying AI models on real robots
  • Architecting data pipelines for robotics models
  • Maintaining robot fleets
  • Validating robotic systems in real-world conditions