Applied Scientist / Research Engineer, AI4Engineering - EMEA

Mistral

Paris

Sur place

EUR 90 000 - 150 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Competitive salary

Equity

Daily lunch vouchers

Gym subscription

Health insurance

Parental leave

Visa sponsorship

Résumé du poste

Mistral AI is seeking Applied Scientists to push AI-driven physics simulations. You will join cross-functional teams to build and deploy AI Physics Models alongside LLM offerings, tackling CFD, structural mechanics, semiconductor design, and digital twins.

Responsibilities cover data curation, training, evaluation, and delivering production-grade AI solutions to engineering clients. You will collaborate with research, product, and customer teams to meet engineering standards.

Qualifications

PhD or Master’s in AI or engineering science.
Fluent English with strong communication.
Proficient in Python; PyTorch or JAX.
Experience with Linux/HPC environments.
Ability to work independently and collaboratively.

Responsabilités

Design and run large-scale simulation campaigns using domain-specific solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus).
Train AI models on physics data with rigorous evaluation of coverage, accuracy, and quality.
Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation.
Develop agents and RAG that integrate LLMs with engineering simulation workflows.
Collaborate with the science/research team on training runs and diagnose failure modes from data gaps or architecture limitations.
Manage research projects and client communications with engineering teams.

Connaissances

English communication

Python

PyTorch

JAX

Linux/HPC

Self-directed

Collaboration

Formation

PhD or Master’s in AI or engineering science

Outils

PyTorch

JAX

Description du poste

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. 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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers.

About The Job

Mistral AI is looking for Applied Scientists with deep expertise in engineering sciences to work at the frontier of AI-accelerated simulation. You will work with industrial customers and internal research teams to build and deploy AI Physics Models alongside our existing offerings of Large Language Models (LLMs).

You will contribute across the full stack: curating high-fidelity simulation datasets, training and evaluating models, and delivering production-grade AI solutions directly to engineering teams. Target domains include computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modelling, and digital twins.

Working cross-functionally with research, product, and customer-facing teams, you will ensure our models meet real engineering standards — not just benchmark metrics.

What you will do

Design and run large-scale simulation campaigns using domain-specific solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus)
Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards
Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation
Develop agents and RAG that integrate LLMs with engineering simulation workflows
Collaborate closely with the science/research team on training runs and diagnose failure modes arising from data gaps or architecture limitations
Manage research projects and client communications with engineering teams

About you

Fluent English with excellent communication skills - able to explain technical simulation concepts to both engineering and non-technical audiences
PhD or Master\'s in AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, Semiconductor Engineering, or a related field. A solid understanding of deep learning and engineering or physics is a must.
Comfortable with PyTorch or JAX for implementing and training models
You write clean, readable Python code and are comfortable in Linux/HPC environments
Self-directed - you don\'t need detailed roadmaps to make progress
Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
Demonstrated success through industrial projects, academic work, or personal projects

It would be great if you

Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent)
Have applied ML methods to simulation or surrogate modelling
Have experience automating large-scale simulation campaigns on HPC clusters
Have contributed to a large open-source or industry codebase
Have publications in engineering or ML venues (NeurIPS, ICLR, etc.)
Love improving existing code by fixing typing issues, adding tests and improving CI pipelines

Benefits

Locations: Munich, Paris, London, Amsterdam, Lausanne, Linz. Hybrid work model.

France