# Applied Scientist / Research Engineer, AI4Engineering - EMEA

**Company**: Mistral AI
**Location**: Paris
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: €90,000–€120,000
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q119718658

**Apply**: https://jobs.lever.co/mistral/249d0ec9-1824-41cb-8c4f-cb17a1d5d111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_da796859-614

## Description

## 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).

## Responsibilities

- 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

## Requirements

- 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

## Nice to Have

- 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

## Skills

### Required
- PyTorch
- JAX
- Python
- Linux
- HPC
- Deep Learning
- Engineering Science
- Mechanical Engineering
- Electrical Engineering
- Computational Fluid Dynamics
- Structural Mechanics
- Semiconductor Engineering

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/mistral/249d0ec9-1824-41cb-8c4f-cb17a1d5d111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)