Robotics Research Engineer - Real-World AI for Robots

CDFAM - Computational Design Symposium

Paris

Híbrido

EUR 70.000 - 110.000

Jornada completa

Hace 6 días
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Descripción de la vacante

Mistral is seeking a Research Engineer for the Robotics team to deploy and refine state-of-the-art AI models for mobile manipulation on real robots. You will help bridge cutting-edge research and practical robotic applications, ensuring models are scalable and robust in dynamic environments.

You will work with engineers and researchers to architect data pipelines for model training, maintain fleets of robots, and validate systems through experiments in real-world conditions, contributing to

Formación

  • Hands-on experience developing software for real-world robotics applications.
  • Mastery of Python and a strong background as a software developer.
  • Experience with robotic control frameworks, such as ROS, and sensor integration.

Responsabilidades

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

Conocimientos

Python
Robotics software development
Production deployment

Herramientas

ROS
Robotics simulators

Descripción del empleo

Mistral is seeking a Research Engineer for the Robotics team to deploy and refine state-of-the-art AI models for mobile manipulation on real robots. You will help bridge cutting-edge research and practical robotic applications, ensuring models are scalable and robust in dynamic environments.

You will work with engineers and researchers to architect data pipelines for model training, maintain fleets of robots, and validate systems through experiments in real-world conditions, contributing to

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