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Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA) and apply them to diverse use cases.
You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. You will collaborate across teams, manage research projects, and communicate with client research teams while delivering robust, scalable robotics solutions.
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.
Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions.
Run pre-training, post-training and deploy state of the art models on large clusters.
Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks.
Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
Collaborate with cross-functional teams to tackle complex use cases.
Manage research projects and communications with client research teams.
Fluent in English with excellent communication skills.
Expert with PyTorch or JAX.
Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM).
Clean, readable, high-performance Python code.
Doesn't need roadmaps. Ships.
Low-ego, collaborative and eager to learn.
Track record of success through personal projects, professional projects or academia.
PhD / Master in a relevant field (Robotics, Machine Learning).
Research experience in robotics navigation, perception, manipulation.
Contributions to a large open-source or industry codebase.
Publications in top academic journals or conferences.
Enjoys improving existing code: typing, tests, CI pipelines.
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