168218 Master's Thesis Software Development BMW Intelligent Personal Assistant (f/m/x) Publishe[...]

Master's Thesis Software Development BMW Intelligent Personal Assistant (f/m/x)

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

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.

What should you bring along?

• 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.

Do you enjoy working in an international team and want to contribute to automotive AI innovation? Then Apply now!

What do we offer?

• Mobile work.
• Student apartments (subject to availability & only at the Munich location).

Do you have any questions? Then submit your inquiry easily via our contact form . Your inquiry will be answered subsequently by phone or email.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here .

Please note that your thesis must be supervised by a university on your part.