About Mistral
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.
Responsibilities
•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
Requirements
•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
Nice to have
•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
•Experience with large codebases or machine learning models at scale
•Contributions to large open-source or industry codebases
•Publications in top academic journals or conferences
•Interest in improving existing code through typing, tests, and CI pipelines
Benefits
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.
