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Mistral AI
Mistral AI
201 – 500 Employees
Artificial IntelligenceEnterpriseSaaS
Mistral AI develops frontier large language models and generative AI systems for organizations building intelligent applications and agents. Its product portfolio spans Vibe for AI-assisted long-horizon work and coding, Studio for creating and operating agents and applications, Forge for training and evaluating custom models, and Compute for model training and inference infrastructure. The company also provides APIs, specialized models, enterprise customization, deployment services, and industry solutions across areas such as finance, the public sector, manufacturing, energy and utilities, and transportation. Mistral AI supports both cloud-hosted and self-hosted deployments, with a focus on privacy-conscious enterprise use and tailored AI solutions.
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AI Scientist, Crashworthiness Domain Expert – Mistral AI (France Remote)

Mistral AI is seeking an AI Scientist with crashworthiness expertise to develop datasets, simulations, and evaluation methods for physics-based AI models. The role applies industrial engineering knowledge to model training, validation, and customer-focused use cases.

FRFranceRemoteFull-timeMiddleSeniorEnglish RequiredAI Research ScientistMachine Learning Engineer
LinuxPython

Description

  • Create and continuously refine simulation datasets for crashworthiness foundation models.
  • Plan and execute high-fidelity campaigns with structural mechanics solvers.
  • Define variation spaces spanning geometry, mesh resolution, material behavior, boundary conditions, loading, contact, joints, failure modes, and engineering KPIs.
  • Develop or oversee automated workflows for simulation setup, execution, post-processing, dataset generation, and model assessment.
  • Train and assess AI models using simulation data in collaboration with research teams.
  • Investigate failures linked to data gaps, insufficient coverage, numerical artifacts, or model constraints.
  • Assess model results against industrial engineering requirements, including accuracy, KPIs, deformation modes, load paths, energy absorption, stress and strain fields, failure indicators, uncertainty, and out-of-domain behavior.
  • Partner with industrial customers to understand workflows and priorities, establish use cases and success measures, and feed their input into model development and validation.

Requirements

  • Advanced expertise in crashworthiness, solid mechanics, and structural mechanics.
  • Master’s degree or equivalent technical expertise in mechanical, aerospace, civil or structural engineering, computational mechanics, applied physics, or a related discipline.
  • At least 4 years of relevant industrial experience, or a PhD plus 1 year of experience.
  • Practical experience with explicit dynamics for crash or impact simulations.
  • Knowledge of nonlinear FEM, contact, plasticity, structural dynamics, buckling, material modeling, fracture and damage, fatigue, crashworthiness, or durability.
  • Experience validating simulations, correlating models, assessing numerical sensitivity and quality, and defining engineering KPIs.
  • Strong Python programming ability.
  • Familiarity with Git, automated testing, code review, documentation, and other software engineering practices.
  • Hands-on experience working with Linux and HPC systems.
  • Experience submitting and monitoring batch jobs, choosing compute resources, and resolving simulation workflow issues.
  • Ability to run simulation campaigns on a compute cluster.
  • Ability to translate loosely defined industrial challenges into scoped datasets, experiments, metrics, and execution plans.
  • Ability to communicate clearly with technical specialists and non-specialist stakeholders.

Benefits

  • Healthcare coverage.
  • Parental leave.
  • Retirement plans.
  • Relocation support.
  • Wellness programs.
  • Meal allowances.
  • Transportation allowances.
  • Other perks specific to the employee’s location.

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