LLM Scientist, AI for Science

Mistral; Paris; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal allowance

Transportation allowance

Job summary

Mistral is hiring an LLM Scientist to push AI-driven discovery, specializing in large language models, agentic AI, and deep learning for Biology, Chemistry, Physics, and Materials Science. You will empower scientists with cutting-edge AI tools and collaborate across disciplines to translate AI advances into real-world impact.

You will lead end-to-end AI/ML research, data creation, and algorithm design, while advancing scalable solutions and engaging with domain experts to refine models for

Qualifications

• Strong background in AI/ML with focus on LLMs, deep learning, or agentic AI and applying these to real-world problems.
• Familiarity with latest LLM architectures and post-training techniques.
• Hands-on experience with PyTorch, TensorFlow, or JAX, model optimization and scaling.
• Ability to understand a Natural Science domain at a high level to design AI solutions.

Responsibilities

• Participate in end-to-end training of LLM-based solutions with emphasis on scalability and scientific applicability.
• Design workflows to create high-quality scientific data at scale (synthetic or crowd-sourced).
• Develop and refine reinforcement learning or agentic systems for natural science challenges.
• Collaborate with domain scientists to translate AI advances into impact.
• Contribute to tooling and infrastructure for model training and open-source AI for science.

Skills

LLMs

Deep learning

Agentic AI

PyTorch

TensorFlow

JAX

Reinforcement learning

Scientific computing

Collaboration

Tools

PyTorch

TensorFlow

JAX

Job description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

About the Role

We are hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models (LLMs), agentic AI, and deep learning frameworks to solve open problems in the natural sciences: Biology, Chemistry, Physics, and/or Materials Science. Your work will empower scientists with cutting-edge AI tools and accelerate research through:

• Model-centric innovation : Improving LLMs’ capabilities to tackle complex scientific problems (e.g., literature synthesis, autonomous experimentation, rigorous derivations).




• Cross-disciplinary collaboration : Partnering with Natural sciences domain experts to translate AI advancements into real-world scientific impact.

What you will do

• AI/ML Research : Participate in end-to-end training of LLM-based solutions, with a focus on scalability, generalization, and scientific applicability.




• Data creation : Design original workflows to accumulate high quality scientific data at scale, either through synthetic or crowd sourced pipelines.




• Algorithm Design : Use and improve reinforcement learning, or agentic systems tailored to Natural sciences challenges (e.g., modeling resolution, material property prediction, advanced data analysis and coding).




• Interdisciplinary Bridge : Work closely with domain scientists to identify AI opportunities and refine models based on feedback.




• Tooling & Infrastructure : Contribute to company infrastructure to improve usability for model training in scientific contexts and open-source AI tools for science for non-AI experts.




• Autonomous Innovation : Set a research agenda for AI in science, exploring high-risk/high-reward ideas.

What We’re Are Looking For

• AI/ML Expertise : Strong background in LLMs, deep learning, or agentic AI , with a track record of applying these to real-world problems (publications, open-source contributions, or deployed systems) – at the minimum extensive experience in computer science and ideally experience scaling synthetic data generation.




• State-of-the-art Knowledge : Familiarity with the latest advancements in LLM architectures and post training.




• Technical Depth : Hands-on experience with PyTorch/TensorFlow/JAX , model optimization, and scaling techniques (e.g., fine-tuning, RLHF).




• Scientific Capability : Ability to understand 1 Natural Science domain at a high level (e.g., graduate level specialization + general undergrad knowledge) to design effective AI solutions.




• Engineering Rigor : Proficiency in scientific computing (e.g., numerical methods, HPC) and software best practices.




• Collaboration : Experience translating technical AI concepts for non-experts (e.g., scientists, engineers) and iterating based on user needs.




• Mindset : Low ego, team player, and eager to tackle operational challenges (e.g., data pipelines, model deployment).

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. 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.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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