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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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  • Schülerpraktikum (all genders)

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    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Intern Multimodal Artificial Intelligence in Vehicle Development (f/m/x)

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

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • machine learning
  • generative AI
  • large language models
  • transformer architectures
  • Python
  • GitHub
  • vLLM
  • LLM training on GPU clusters

Soft Skills

  • Effective communication skills

Job Description

Our team at the BMW Group evaluates innovative technologies for IT and manages the international IT Tech Office network. In this internship, you will support integrating state-of-the-art AI innovations into BMW Group processes, from vehicle development and production to sales and customer services. What awaits you? * You will support exploring and evaluating vision language models for industrial applications and help to fine-tune these models. * Furthermore, you help to set up benchmark problems, develop quantitative metrics, and compare different models. * In addition, you will assist in evaluating post-training methods for vision language models, including reinforcement learning. * Moreover, you contribute to presenting findings through internal reports and support potential scientific publications. * You will collaborate with internal development and IT departments as well as external partners, from startups to AI experts. * Furthermore, you help to build prototype applications based on tested and developed models to showcase to engineering departments.

Requirements

  • Studies in computer science, mechanical or aeronautical engineering, physics, mathematics or a related field.
  • Solid understanding of machine learning principles, generative AI, and standard frameworks.
  • Experience with large language models and transformer architectures.
  • Proficient in Python and GitHub; experience with vLLM or similar frameworks is a plus.
  • Knowledge of LLM training on GPU clusters is a plus.
  • Effective communication skills in English; German is a plus.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • experience with vLLM or similar frameworks
  • Knowledge of LLM training on GPU clusters
  • German
▶Apply Now

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