About the role
AI Scientist, Robotics About Mistral 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. What We Offer 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. Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy. Paris
Key responsibilities
- check_circleCollaborate with the team on day-to-day project tasks
- check_circleLearn tools and processes used by the organization
- check_circleDocument work and participate in team meetings
- check_circleSupport quality checks and continuous improvement
Requirements
- check_circleDevelop novel AI methods for mobile manipulation and embodied intelligence.
- check_circleBuild scalable infrastructure for training, evaluating, and analyzing AI models.
- check_circleDeploy AI systems on real-world robotic platforms.
- check_circleAdvance vision-language and robot learning capabilities.
- check_circleCollaborate across research, engineering, and product teams to deliver impactful solutions.
- check_circleOptimise AI models for reliable real-world robotic performance.
- check_circleHands-on experience building AI systems for robotics or developing large vision-language models.
- check_circleStrong software engineering skills, preferably in Python.
- check_circleExperience with deep learning frameworks such as PyTorch.
- check_circleAbility to design scalable, production-ready AI software and infrastructure.
- check_circleExperience with robotics domains such as manipulation, navigation, simulation, 3D perception, embodied reasoning, or vision-language-action models.
- check_circleFamiliarity with the end-to-end MLOps lifecycle, including training, fine-tuning, evaluation, and deployment.
Skills & keywords
Benefits & perks
- check_circleMentorship
- check_circleCertificate of completion
- check_circleFlexible work arrangement where applicable