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Paid Internship
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21Open Positions

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Master's Thesis 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
  • Master
  • PhD

Skills & Qualifications

Technical Skills

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

Soft Skills

  • Programming skills
  • Evaluating AI systems

Job Description

Our team at the BMW Group transforms cutting-edge AI research into real-world automotive applications. We work with machine learning, computer vision, natural language processing, and human interaction to develop the BMW Intelligent Personal Assistant. Join our experienced AI development team at the intersection of AI, machine learning, image processing, linguistics, and computer science. What awaits you? * You will support the development of intelligent and innovative evaluation systems for our in-car LLM- and VLM-based systems using generative AI. * Furthermore, you help design test scenarios, performance metrics, and validation protocols to assess natural language understanding, multi-agent coordination, Model Context Protocol (MCP) principles, and multimodal context inputs. * In addition, your ideas will become an integral part of our product and process portfolios. * Moreover, you will contribute to close collaboration 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 (transformer-based architectures) and their applications in natural language understanding and generation.
  • Familiarity with Model Context Protocol (MCP) 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.
  • Business-fluent English; German language skills are a plus.
  • Your thesis must be supervised by a university on your part.

Related Field

  • Software Engineering

Related Subfield

  • AI/ML/GenAI Engineering

Languages

  • English

Nice to Haves

  • German language skills
▶Apply Now

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