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About the Role
Mistral is seeking AI Scientists with deep expertise in engineering sciences and machine learning to advance AI-accelerated simulation. You will research and train foundational physics models, curate simulation datasets, design novel architectures, and evaluate them against engineering validation standards. The goal is to create foundation models that transfer and fine-tune across engineering tasks, with a focus on simulation data pipelines, physics-based evaluation, and uncertainty estimation.
Responsibilities
- 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 high-fidelity datasets
- Investigate architectures and training strategies that allow a single foundation model to transfer and fine-tune well across diverse engineering tasks
- Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes
- Stay on top of the latest developments in the scientific community and contribute to Mistral's standing in AI-for-engineering research
Requirements
- PhD or Master's in CS/AI or an engineering science field (Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or related)
- Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology
- Experience developing ML methods for simulation or surrogate modeling
- Proficiency in clean, readable Python code
- Comfort 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
- Self-directed, able to make progress without detailed roadmaps
- Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
- Demonstrated success through industrial projects, academic work, or personal projects
Skills
- Machine Learning
- Python
- Linux
- HPC
- Simulation
- Model Architectures
- Training Dynamics
- Evaluation Methodology
- Surrogate Modeling
Education Level
- PhD or Master's in CS/AI or an engineering science field
Benefits
- Comprehensive benefits package designed to support well-being, growth, and work-life balance
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
- Other location-specific perks
About the Company
- 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.
- We co-create customized AI systems that enterprises 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.