Applied Scientist, AI4Engineering

Mistral AI

Applied Scientist role at Mistral AI, focusing on AI-accelerated simulation projects in engineering domains. Collaborating with cross-functional teams to build and deploy AI solutions.

Posted 6/1/2026full-timeParis • 🇫🇷 FranceMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

simulation campaignsAI model trainingdataset creationsimulation pipeline managementmodel evaluationmachine learning methodssurrogate modellingHPC cluster automationcodebase contributiontechnical simulation concepts

Soft Skills

communication skillsself-directedcollaborativeeager to learnproblem diagnosisclient communicationteam collaborationexplanation of technical conceptslow-egoadaptability

Tools & Technologies

OpenFOAMANSYSCOMSOLAbaqusHPC clustersCI pipelinesNeurIPSICLR

Certifications & Qualifications

PhD in physicsPhD in engineering

Industry Keywords

automotiveaerospacesemiconductorsindustry validation standardsdata gapsarchitecture limitationsindustrial projectsacademic workpublications in engineeringpublications in ML

About the role

Key responsibilities & impact

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 collaborate 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

Requirements

What you’ll need

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

Comp & perks

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)