ml team lead in robotics

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Paris, Île-de-France Mistral Temps plein

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Описание

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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.

Задачи

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

Требования

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 guidanceWrites 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 xuezdbg 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

Условия

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

ml team lead in robotics

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ml team lead in robotics

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