New AI Scientist, Robotics

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

AI Scientist role focused on developing next-generation AI systems for general-purpose mobile manipulation robots, advancing their ability to perceive, reason, and interact with the physical world. The role involves bridging frontier AI research with real-world robotics applications, requiring collaboration across research, engineering, and product teams.

What you'd actually do

  1. Develop novel AI methods for mobile manipulation and embodied intelligence.
  2. Build scalable infrastructure for training, evaluating, and analyzing AI models.
  3. Deploy AI systems on real-world robotic platforms.
  4. Advance vision-language and robot learning capabilities.
  5. Collaborate across research, engineering, and product teams to deliver impactful solutions.

Skills

Required

  • Hands-on experience building AI systems for robotics or developing large vision-language models.
  • Strong software engineering skills, preferably in Python.
  • Experience with deep learning frameworks such as PyTorch.
  • Ability to design scalable, production-ready AI software and infrastructure.
  • Experience with robotics domains such as manipulation, navigation, simulation, 3D perception, embodied reasoning, or vision-language-action models.
  • Familiarity with the end-to-end MLOps lifecycle, including training, fine-tuning, evaluation, and deployment.
  • Strong problem-solving skills with a proactive, self-driven, and collaborative approach.
  • Track record of AI research, technical innovation, or scientific publications.

Nice to have

  • publication record

What the JD emphasized

  • AI systems for robotics
  • vision-language-action models
  • end-to-end MLOps lifecycle
  • Track record of AI research, technical innovation, or scientific publications.

Other signals

  • developing AI systems for general-purpose mobile manipulation robots
  • advance intelligent robots that can perceive, reason, and interact with the physical world
  • bridge the gap between frontier AI and real-world robotics
  • bringing embodied AI from research into practical applications