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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Intern Software Development BMW Intelligent Personal Assistant (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

  • Python 3
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Large Language Models
  • transformer-based architectures
  • Model Context Protocol
  • AI systems

Soft Skills

  • analytical skills
  • collaboration
  • communication

Job Description

Our team at the BMW Group transforms cutting-edge advances in machine learning, computer vision, natural language processing, and human interaction into real-world automotive applications. We are developing the next generation of AI systems at the crossroads of linguistics, image processing, and computer science. What awaits you? * You will support the design, implementation, and evaluation of advanced AI systems based on LLMs, VLMs, multi-agent architectures, and MCP principles. * Furthermore, you contribute to comprehensive evaluation of LLM- and VLM-based systems, including designing test scenarios, performance metrics, and validation protocols. * In addition, you help assess natural language understanding, multi-agent coordination, and multi-channel data fusion capabilities. * Moreover, you collaborate with suppliers and internal teams to exchange insights and participate in technical discussions driving innovation in automotive AI.

Requirements

  • Studies in computer science, electrical engineering, computational linguistics, mathematics, physics, psychology, or a related discipline.
  • Strong programming skills in Python 3 and substantial experience with machine learning frameworks such as TensorFlow or PyTorch, including libraries like scikit-learn.
  • Solid understanding of Large Language Models and transformer-based architectures and their applications in natural language understanding and generation.
  • Familiarity with Model Context Protocol concepts for managing context and orchestrating communication between AI modules and multi-modal inputs.
  • Hands-on experience or strong interest in evaluating AI systems, including designing evaluation frameworks, performance measurement, error analysis, and bias detection.

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)

Languages

  • English

Nice to Haves

  • German language skills are a plus
▶Apply Now

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