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Applied Scientist / Domain Expert, AI4Engineering - EMEA

Mistral AI
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 1 Tag

Qualifikationen

Doktorat
Machine Learning
Physik
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Location

Munich; Amsterdam; Linz

Employment Type

Full time

Location Type

Hybrid

Department

Solutions

About Mistral

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—co-creating customized AI systems that they 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.

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

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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Applied Scientist / Domain Expert, AI4Engineering - EMEA

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