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AI & Modeling Lead Engineer - Materials Innovation

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Owens Corning

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Location:
France , Chambery

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Join our team in Chambéry as a key driver of digital transformation in materials innovation. We are seeking a highly skilled engineer to lead the development and deployment of artificial intelligence (AI) and machine learning (ML) solutions, with a strong focus on simulation and modeling of composite materials. This strategic role supports global customers and contributes to shaping the future of data-driven R&D in glass reinforcement composites.

Job Responsibility:

  • Evaluate commercial AI/ML platforms for technical fit and scalability
  • Lead internal AI initiatives for composite modeling and product development
  • Apply supervised and unsupervised ML techniques to solve complex materials problems
  • Develop scripts to integrate AI tools with databases and simulation environments
  • Deploy AI solutions to enhance modeling productivity and support customer projects
  • Structure and streamline material property databases for faster decision-making
  • Support global customers with advanced modeling of composite materials and systems
  • Create material data cards for structural and process simulations
  • Collaborate with international teams to deliver data-driven solutions
  • Provide technical insights to optimize performance and reduce costs
  • Document findings in technical reports and presentations

Requirements:

  • Master’s degree in Materials Science, Engineering, or Data Science
  • 5–7 years of experience applying AI/ML in engineering or materials development
  • Proficiency in Python and scripting for AI tool integration
  • Familiarity with data science platforms (SQL, R, Spark, cloud-based environments)
  • Experience with materials databases and simulation techniques (FEA, CFD, MD, DFT)
  • Fluent in French and English
  • Willingness to travel (5–10%)

Nice to have:

  • PhD with focus on AI/ML applications in materials or engineering
  • Experience deploying commercial AI tools for R&D and product development
  • Expertise in composite modeling tools (Abaqus, Ansys, Digimat, Moldex3D)
  • Background in composite testing and structure–property relationships
  • Proven collaboration with customers on technical solutions

Additional Information:

Job Posted:
January 29, 2026

Work Type:
Hybrid work
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