Applied Scientist, AI4Engineering

Mistral
Paris, Luxembourg, Amsterdam, Austria, Munich, London, Switzerland
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Education: mastersSkills: ["Communication","Self-directed","Collaboration","Low-ego","Problem diagnosis"]

Build and deploy AI physics models that accelerate engineering simulation, partnering with industrial customers and internal research teams. Curate high-fidelity simulation datasets, train and evaluate models with rigorous validation, and deliver production-grade solutions to engineering teams. You’ll also design large-scale simulation campaigns with domain solvers, automate dataset/pipeline workflows on Linux/HPC, and develop agents and RAG systems that integrate LLMs with simulation workflows.

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FursaFursa
Mistral
Mistral
1 month ago

Applied Scientist, AI4Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and deploy AI physics models that accelerate engineering simulation, partnering with industrial customers and internal research teams. Curate high-fidelity simulation datasets, train and evaluate models with rigorous validation, and deliver production-grade solutions to engineering teams. You’ll also design large-scale simulation campaigns with domain solvers, automate dataset/pipeline workflows on Linux/HPC, and develop agents and RAG systems that integrate LLMs with simulation workflows.
Location: Paris, Luxembourg, Amsterdam, Austria, Munich, London, Switzerland
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design and run large-scale simulation campaigns using domain-specific solvers (OpenFOAM, ANSYS, COMSOL, Abaqus).
  • •Train AI models on physics data and evaluate coverage, accuracy, and quality against industry validation standards.
  • •Build tools/frameworks for automated dataset creation, simulation pipeline management, and model evaluation.
  • •Develop agents and RAG that integrate LLMs with engineering simulation workflows.
  • •Collaborate with research teams on training runs and diagnose failure modes from data gaps or architecture limitations; manage research projects and client communications.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocation SupportWellness StipendMeal AllowancesCommuter Benefits

Key Requirements

  • •PhD or Master’s in AI or an engineering science (e.g., Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, Semiconductor Engineering) with deep learning and engineering/physics understanding.
  • •Comfortable implementing and training models with PyTorch or JAX.
  • •Write clean, readable Python and be comfortable working in Linux/HPC environments.
  • •Fluent English with excellent communication skills to explain technical simulation concepts to technical and non-technical audiences.
  • •Demonstrated success through industrial projects, academic work, or personal projects, with self-directed, low-ego collaboration.
Experience:AIEngineering simulationPhysics dataSurrogate modellingHPC clustersOpen-source code
Education:Master's in AI or an engineering science (e.g., Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, Semiconductor Engineering)
Skills:CommunicationSelf-directedCollaborationLow-egoProblem diagnosis
Languages:English
Tech Stack:PyTorchJAXPythonLinuxHPCOpenFOAMANSYSCOMSOLAbaqusLLMsRAGAgentsDigital twinsMulti-physics modelling

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn