SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Mistral is seeking Applied Scientists and Research Engineers focused on robotics to design, train, and deploy state-of-the-art robotics models (Vision Language Models, Vision-Language-Action models for navigation and manipulation) and apply them to diverse use cases across high-stakes industries including finance, manufacturing, defense, healthcare, and the public sector.
In this role, you will:
- 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 tools and frameworks to facilitate data generation, model training, evaluation, and deployment
- Collaborate with cross-functional teams (internal and external science, engineering, and product teams) to tackle complex use cases
- Manage research projects and communications with client research teams
Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute. The company is dynamic and collaborative, with teams distributed across Europe, North America, Asia, and the Middle East.
REQUIREMENTS:
- Fluent English with excellent communication skills
- Expert 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: ships without needing 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 (typing, tests, CI pipelines)
