Latest AI JobsBrowse Jobs
Mistral AI logo

AI Scientist - Physics Models

Mistral AIParisScience
Apply on company site
Salary
Not listed
Job type
Full-time
Posted
4 Sept 2026
Status
Open · checked 7d ago

About this role

The AI Scientist - Physics Models role at Mistral AI is a full-time position based in Paris, focusing on the research and training of advanced foundational physics models. This opportunity suits professionals with expertise in engineering sciences and machine learning who want to advance AI-accelerated simulation capabilities.

Role Overview

Mistral AI seeks an AI Scientist to join the AI4Engineering Science team in Paris. The professional in this role will research and train foundational physics models that surpass current capabilities and can be adapted for various downstream applications. Responsibilities include building high-fidelity simulation datasets, designing novel model architectures, and evaluating performance against real engineering validation standards. The position involves collaborating with researchers to ensure models serve as robust backbones for multiple products.

Key Responsibilities

Research and train novel foundation models for physics simulation to advance accuracy, scaling, and generalization beyond current limits.
Design and execute large-scale simulation campaigns utilizing domain-specific solvers to gather high-fidelity data.
Explore and test training strategies and architectures, including multi-fidelity training and scaling behaviors, to support cross-task transfer and fine-tuning.
Conduct rigorous evaluations of model robustness, coverage, and accuracy using industry validation standards while diagnosing failure modes.
Monitor scientific advancements and contribute to Mistral's research reputation at the intersection of AI and engineering.

Requirements

Hold a Master's or PhD degree in Computer Science, Artificial Intelligence, Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field.
Demonstrate strong, hands-on machine learning experience with solid knowledge of training dynamics, evaluation methodologies, and model architectures.
Possess proven experience in developing machine learning techniques specifically for simulation or surrogate modelling.
Write clean, readable code in Python and feel comfortable operating within Linux and HPC environments.
Demonstrate fluent English communication skills capable of explaining technical concepts to both technical and non-technical stakeholders.
Exhibit self-direction, a collaborative and low-ego attitude, and a history of successful industrial, academic, or personal projects.

Nice to Have

Practical industrial or academic exposure to simulation solvers such as OpenFOAM, ANSYS, COMSOL, Abaqus, LS-DYNA, Fluent, STAR-CCM+, PowerFlow, NekRS, JAX-Fluids, or EDA tools from Cadence, Synopsys, and Siemens.
Background in automating large-scale simulation campaigns across HPC clusters.
Previous contributions to significant industry or open-source codebases.
Academic publications in relevant ML or engineering venues like NeurIPS, ICLR, AIAA, ASME, or JFM.

Skills and Tools

Python
Machine Learning
Linux
High-Performance Computing (HPC)
Simulation Solvers and Surrogate Modelling

About the Company

Mistral AI delivers full-stack artificial intelligence solutions ranging from frontier models and developer tools to custom applications and compute power. The company collaborates with enterprises across high-stakes sectors such as healthcare, finance, manufacturing, defense, and the public sector to build customized AI systems. Operating with a dynamic, low-ego, and collaborative culture, Mistral AI brings together distributed teams across North America, Europe, Asia, and the Middle East.

How to Apply

Candidates interested in this position should visit the official Mistral AI careers page to submit their application.

Skills and tech stack

Questions candidates ask

Where is the AI Scientist - Physics Models position located?

The role is based in Paris, France.

What educational background is required for this role?

Candidates must hold a Master's or PhD in Computer Science, AI, or an engineering science such as Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, or Semiconductor Engineering.

What programming languages and environments are required?

Applicants must write clean Python code and feel comfortable working in Linux and HPC environments.

Is remote work an option for this job?

No, this is an on-site position located in Paris.

How should I apply for the AI Scientist role at Mistral AI?

You should apply directly on the official Mistral AI careers page.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site