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Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an AI Scientist on the Robotics team, you will develop the next generation of AI systems for general-purpose mobile manipulation robots. Your work will help advance intelligent robots that can perceive, reason, and interact with the physical world in real-world environments.
You will collaborate closely with researchers, software engineers, and product teams to build scalable AI models and deploy them on physical robotic platforms. By combining cutting-edge research with production-grade engineering, you will help bridge the gap between frontier AI and real-world robotics.
This role is ideal for someone who enjoys solving complex technical challenges, thrives in collaborative environments, and is passionate about bringing embodied AI from research into practical applications.
What You Will Do
Develop novel AI methods for mobile manipulation and embodied intelligence.
Build scalable infrastructure for training, evaluating, and analyzing AI models.
Deploy AI systems on real-world robotic platforms.
Advance vision-language and robot learning capabilities.
Collaborate across research, engineering, and product teams to deliver impactful solutions.
Optimise AI models for reliable real-world robotic performance.
What We're Looking For
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.
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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