ml team lead in robotics

Mistral provides full-stack AI solutions, from frontier models to developer tools, applications, and compute. It partners with enterprises in high-stakes industries to co-create customized AI systems that they can run on their own terms.

• Set the technical direction for robotics in Applied Science, including the problems, models, data, and benchmarks to invest in
• Lead high-stakes robotics projects with customers and partners from scoping through deployment
• Build and mentor a team of robotics Applied Scientists and Research Engineers
• Run pre-training and post-training, and deploy state-of-the-art models on clusters with thousands of GPUs
• Own the data strategy by generating and curating datasets and building evaluators and benchmarks for perception, navigation, and manipulation
• Develop tools and frameworks for data generation, model training, evaluation, and deployment
• Collaborate with cross-functional teams on complex use cases
• Manage research projects and communications with client research teams, and engage senior stakeholders

• Fluent English and excellent communication skills; able to explain complex technical concepts to technical and non-technical audiences
• Experience leading a technical AI, science, or engineering team, balancing individual technical work with team leadership and stakeholder management
• Expert knowledge of PyTorch or JAX
• Deep experience with VLMs, VLA models, perception, navigation, manipulation, and simulation tools such as Isaac SIM
• Track record of shipping models on real robots
• Able to contribute to a large codebase and work independently with little guidance
• Writes clean, readable, high-performance, fault-tolerant Python code
• Works independently and navigates uncertainty with confidence
• Collaborative, low-ego, and eager to learn
• Track record of success through personal projects, professional projects, or academia
• Будет плюсом: experience as a founder or builder, a PhD or Master’s in Robotics or Machine Learning (exceptional candidates from other backgrounds are welcome), sim-to-real transfer, world models, large-scale robot data collection, large codebases or machine learning models at scale, contributions to large open-source or industry codebases, publications in top academic journals or conferences, and interest in improving existing code through typing, tests, and CI pipelines

• 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