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Mistral is seeking Applied Scientists and Research Engineers focused on robotics to design, train, and deploy state-of-the-art robotics models including Vision Language Models (VLM) and Vision-Language-Action (VLA) models for navigation and manipulation tasks. You will work on diverse use cases and collaborate cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions.
Key responsibilities include:
- Running pre-training, post-training, and deploying state-of-the-art models on large clusters
- Generating and curating datasets (image-text, video-text) and building evaluators/benchmarks for perception, navigation, and manipulation tasks
- Developing tools and frameworks to facilitate data generation, model training, evaluation, and deployment
- Collaborating with cross-functional teams to tackle complex use cases
- Managing research projects and communications with client research teams
About Mistral: Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute. The company partners with enterprises across high-stakes industries including finance, manufacturing, defense, healthcare, and the public sector to co-create customized AI systems. Teams are distributed across Europe, North America, Asia, and the Middle East.
Requirements:
- Fluent English with excellent communication skills
- Expert-level proficiency with PyTorch or JAX
- Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation, manipulation, and simulation tools (e.g., Isaac SIM)
- Ability to write clean, readable, high-performance Python code
- Track record of success through personal projects, professional projects, or academia
- Low-ego, collaborative mindset with eagerness to learn
- Self-directed execution without requiring detailed roadmaps
Nice to have:
- PhD or Master's degree in Robotics, Machine Learning, or related field
- Research experience in robotics navigation, perception, or manipulation
- Contributions to large open-source or industry codebases
- Publications in top academic journals or conferences
- Experience improving existing code through typing, tests, and CI pipelines
