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LLM Scientist, AI for Science

Mistral AIParisScience
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

LLM Scientist, AI for Science is a full-time role based in Paris at Mistral that involves developing and optimizing large language models for natural sciences, making it a strong fit for specialists with deep learning and scientific computing expertise. This position focuses on driving advancements in biology, chemistry, physics, and materials science through model-centric innovation and interdisciplinary collaboration.

Role Overview

Mistral is hiring an LLM Scientist to advance AI-driven scientific discovery in Paris. The professional in this position will create and refine large language models, deep learning frameworks, and agentic AI systems to address open challenges across biology, chemistry, physics, and materials science. By bridging artificial intelligence and domain expertise, the individual empowers researchers with advanced tools to accelerate progress.

Key Responsibilities

Conduct end-to-end training of LLM solutions with an emphasis on scalability, generalization, and scientific applicability.
Build original workflows for large-scale scientific data acquisition through synthetic or crowd-sourced methods.
Apply and enhance reinforcement learning and agentic systems tailored to natural science problems like material property prediction and modeling resolution.
Collaborate with domain scientists to identify opportunities and refine models based on operational feedback.
Contribute to company infrastructure and open-source tools for science to assist non-AI experts.
Establish a research agenda for AI in science while investigating high-risk and high-reward concepts.

Requirements

Background in large language models, deep learning, or agentic AI with a history of practical applications.
Understanding of current advancements in LLM architectures and post-training techniques.
Practical experience using PyTorch, TensorFlow, or JAX alongside scaling and model optimization methods like RLHF.
Familiarity with at least one natural science domain at a high level.
Competence in software engineering best practices and scientific computing.
Ability to communicate technical concepts clearly to non-expert engineers and scientists.

Skills and Tools

PyTorch
TensorFlow
JAX
Large Language Models
Deep Learning
Reinforcement Learning
Scientific Computing
High-Performance Computing

About the Company

Mistral delivers full-stack artificial intelligence solutions ranging from frontier models to developer tools, applications, and compute. The organization partners with enterprises across high-stakes fields such as finance, healthcare, defense, manufacturing, and the public sector to build customized systems.

How to Apply

Interested candidates should submit their application directly on the official Mistral careers page.

Skills and tech stack

PyTorchTensorFlowJAXLLMsDeep LearningReinforcement LearningLLMFine-tuning

Questions candidates ask

What is the location of the LLM Scientist, AI for Science role?

The position is based in Paris.

What core technical frameworks are required?

Candidates need practical experience with PyTorch, TensorFlow, or JAX.

What scientific domains are relevant to this position?

The role involves working with Biology, Chemistry, Physics, and Materials Science.

What application requirement is mentioned for the AI for Science team?

Applicants must include a short motivational paragraph describing a potential project they want to contribute to, why it is challenging, and the specific skills they bring.

How should candidates apply for this position?

Candidates must apply through the official Mistral careers page.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site