Intern LLM-enhanced in-vehicle personal assistants (f/m/x)

Our team at the BMW Group develops innovative in-vehicle personal assistants using multimodal large language models. We explore how voice assistance and graphical user interfaces can work together to enhance the in-car user experience and create seamless Human-AI interaction.

What awaits you?

• You will support core development activities using Python, incorporating LLM libraries and Pydantic for enhanced functionality.
• Furthermore, you contribute to the platform across multiple programming languages and frameworks, including Android Automotive and Azure Pub/Sub.
• In addition, you help solve complex problems and devise innovative solutions to enhance the MLLM capabilities of our in-vehicle personal assistant.
• Moreover, you will assist in planning and executing user studies with prototypes to validate concepts.

What should you bring along?

• Studies in computer science, media informatics or a related field.
• Strong proficiency in Python.
• Experience with Android development using Kotlin or Java.
• Knowledge and experience with Azure or other cloud platform deployments integrating with CI/CD tools like Git.
• Experience in developing large language models; experience with multimodal LLMs is a plus and experience with user-centered development and conducting user studies, ideally in voice user interfaces or automotive applications.
• Ability to collaborate in research and development teams, contributing innovative ideas.
• Strong written and verbal communication skills in English; proficiency in German is a plus.

Would you like to shape the future of in-vehicle personal assistants with cutting-edge AI technology? Then Apply now!

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Mobile work.
• Attractive & fair compensation.
• Apartments for students (subject to availability & only at the Munich location).
• And much more, see bmw.jobs/whatweoffer

Start date: earliest start 01.06.2026

Duration: 5 months

Working hours: Full-time

You can find helpful tips on your application and the application process here.

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.