AI Scientist - Physics Models

Job summary

Responsibilities

Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists…

• Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale
• Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need
• Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and…
• Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations
• Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research

What they're looking for

• PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor…
• Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role
• You have developed ML methods for simulation or surrogate modelling
• You write clean, readable Python code and are comfortable in Linux/HPC environments
• Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences

Tech stack

• Python
• JAX