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Paid Internship
Work Mode
Time Spent
Required Degree
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12Open Positions

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Intern Generative AI in Engineering (f/m/x)

BMW Group
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Attraktive & faire Vergütung
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Generative AI
  • Python
  • PyTorch
  • LLMs/VLMs
  • Langchain
  • Claude Agents SDK
  • CAE processes
  • numerical simulations
  • FEM

Soft Skills

  • Scientific mindset
  • enthusiasm for applying cutting-edge research to real-world challenges
  • Ability to contribute in a collaborative and organized manner.
  • Strong communication skills

Job Description

Our team at the BMW Group brings cutting-edge generative AI technologies into engineering processes. We shape the future of engineering across disciplines like design, simulation, production, and sales, reducing time to insight while improving quality and enabling consistent AI capabilities across programs. What awaits you? * You will support a multidisciplinary team at the forefront of generative AI applied to the engineering domain. * Furthermore, you help develop a deep understanding of machine learning models applied to CAE processes with a focus on numerical simulations (FEM). * In addition, you contribute to benchmarking, applying and improving machine learning methods regarding their ability to understand relationships between virtual and real geometries, textual descriptions, videos, and engineering knowledge including physical properties. * Moreover, you will assist in integrating these methods into agent-based workflows supporting the evaluation of simulation results and product development, collaborating closely with domain experts and AI specialists. * Additionally, you help collaborate with external partners ranging from startups to hyperscalers and leading AI labs.

Requirements

  • Studies in engineering, computer science, mathematics or a related field at Master degree level.
  • Programming experience in Python and practical knowledge of deep learning frameworks, particularly PyTorch and its ecosystem.
  • Experience with LLMs/VLMs and their application in agentic frameworks (e.g. Langchain, Claude Agents SDK) in a real-world project.
  • Technical understanding of CAE processes, especially numerical simulations.
  • Scientific mindset and enthusiasm for applying cutting-edge research to real-world challenges.
  • Ability to contribute in a collaborative and organized manner.
  • Strong communication skills in English; German is a plus.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • German
▶Apply Now

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