Applied Scientist / Domain Expert, AI4Engineering - EMEA

Mistral

Paris

On-site

EUR 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Competitive cash salary and equity

Daily lunch vouchers

Monthly contribution to a Gympass subscription

Full health insurance for you and your family

Generous parental leave policy

Job summary

Mistral, based in Paris, is seeking Applied Scientists with expertise in physics and engineering to drive AI-accelerated simulations. You will work on large-scale simulation campaigns and develop AI models, leveraging your knowledge to tackle complex engineering problems effectively.

The ideal candidate has a PhD in physics or engineering, with over five years of industry experience. Offering competitive salaries with equity, comprehensive health insurance, and various benefits, including lunch vouchers and gym contributions, Mistral provides a hybrid work environment.

Qualifications

5+ years of industry experience in a relevant domain like Automotive, Aerospace or Semiconductors.
Ability to explain technical concepts to both technical and non-technical audiences.
Demonstrated success in industrial projects or personal projects.

Responsibilities

Design and run large-scale simulation campaigns using domain-specific solvers.
Run training of AI models on physics data and evaluate their performance.
Build tools and frameworks for automated dataset creation and simulation management.

Skills

Fluent English

Communication skills

Machine learning

Simulation concepts

Education

PhD in physics or engineering

Tools

OpenFOAM

ANSYS

COMSOL

Abaqus

Job description

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 https://mistral.ai/careers.

About The Job

Mistral AI is looking for Applied Scientists with deep domain and industrial expertise in physics and 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. You will contribute across the full stack: leveraging your deep domain expertise to understand complex problems that will be tackled with frontier AI. 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
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
Have a PhD in physics or engineering and 5 years+ of industry experience in a relevant domain. You work in a key engineering industry: Automotive, Aerospace or Semiconductors and have an interest in machine learning.
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 a deep passion for machine learning
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