Applied Scientist / Domain Expert, AI4Engineering - EMEA

Mistral AI|01 Jun 2026

fulltimeonsite

Before you apply

Listed location: Paris

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

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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

• Competitive cash salary and equity

• Daily lunch vouchers

• Monthly contribution to a Gympass subscription

• Monthly contribution to a mobility pass

• Full health insurance for you and your family

• Generous parental leave policy

• Visa sponsorship

• Competitive cash salary and equity

• Health insurance

• Transportation reimbursement (office parking or £90/month public transport)

• £90/month gym membership reimbursement

• £200/month meal allowance

• Pension plan: SmartPension (5% Employee & 3% Employer)

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Frequently asked questions

Is the Applied Scientist / Domain Expert, AI4Engineering - EMEA position at Mistral AI remote?

The Applied Scientist / Domain Expert, AI4Engineering - EMEA role at Mistral AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the Applied Scientist / Domain Expert, AI4Engineering - EMEA role?

Mistral AI is hiring for a full-time Applied Scientist / Domain Expert, AI4Engineering - EMEA position.

How do I apply for the Applied Scientist / Domain Expert, AI4Engineering - EMEA position at Mistral AI?

You can apply for the Applied Scientist / Domain Expert, AI4Engineering - EMEA role directly through Mistral AI's official application link provided on this page.