LLM Scientist AI for Science
Paris-based AI company building frontier models, AI applications, developer tools, and compute infrastructure for enterprise and public-sector deployments.
Maintainer signals as of 9/25/2026
About Mistral AI
Mistral AI develops open-weight and commercial language models and provides a full-stack AI platform spanning agents, application development, custom-model training, APIs, and AI cloud infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research, train, and optimize LLM-based and agentic AI solutions for scientific problems. You will create scientific-data workflows, improve reinforcement-learning and agentic systems, collaborate with domain scientists, contribute training infrastructure and open-source tools, and set a research agenda for high-risk, high-reward AI-for-science work.
Requirements
- LLMs, deep learning, or agentic AI experience
- Experience applying AI to real-world problems
- Knowledge of LLM architectures and post-training
- PyTorch, TensorFlow, or JAX
- Model optimization and scaling
- Fine-tuning
- RLHF
- Knowledge of a natural-science domain
- Scientific computing
- Numerical methods
- HPC
- Software engineering
- Ability to communicate AI concepts to non-experts
- Data pipelines
- Model deployment
Responsibilities
- Train and optimize LLM-based solutions for scientific applications
- Design workflows for high-quality scientific data creation at scale
- Develop reinforcement-learning and agentic systems for natural-science challenges
- Collaborate with domain scientists to identify opportunities and refine models
- Improve infrastructure for scientific model training
- Contribute open-source AI tools for science
- Set a research agenda for AI in science
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances