Master Thesis LLM Enhanced In-Vehicle Personal Assistants (f/m/x)

BMW Group; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company in Munich is offering a Master thesis in intelligent mobility, focusing on Human-AI interaction for in-vehicle personal assistants. You will support core development using Python and help design in-car user interfaces. This full-time position requires studies in computer science or a related field, along with strong Python skills. The role includes flexible working hours and attractive compensation.

Leistungen

Comprehensive mentoring

Flexible working hours

Mobile work

Attractive compensation

Student apartments subject to availability

Qualifikationen

• Must have a valid university affiliation for thesis supervision.
• Experience in voice-based interfaces is a plus.
• Ability to work in a research and development team.

Aufgaben

• Support core development activities using Python.
• Help integrate LLM libraries and develop across multiple frameworks.
• Assist in planning and executing user studies.
• Contribute to designing adaptive in-car user interfaces.

Kenntnisse

Proficiency in Python

Experience with Azure or cloud platforms

Developing LLMs

User-centered design methods

Wireframing or prototyping tools like Figma

Strong communication skills in English

Ausbildung

Studies in computer science, media informatics or a related field

Tools

Git for CI/CD

Jobbeschreibung

Overview

THIS MUCH DOING ISN'T DOABLE AT JUST ANY COMPANY.

SHARE YOUR PASSION.

We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. 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.

We, the BMW Group, offer you an interesting and varied Master thesis in the area of intelligent mobility. Our team explores innovative Human-AI interaction for in-vehicle personal assistants. We focus on leveraging large language models (LLMs) to create adaptive, multimodal user experiences and derive design guidelines for future mobility solutions.

What awaits you?

• You will support core development activities using Python, integrating LLM libraries and Pydantic.
• Furthermore, you help to contribute to the platform across multiple languages and frameworks, including Android (Kotlin), Azure Pub/Sub, and internal APIs.
• Moreover, you will assist in solving complex problems and devising innovative solutions to enhance LLM capabilities for our in-vehicle assistant.
• In addition, you contribute to planning and executing a user study with an LLM-based prototype.
• You will also support the design of adaptive in-car user interfaces, including wireframes and multimodal interaction flows.

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

What should you bring along?

• Studies in computer science, media informatics or a related field.
• Strong proficiency in Python.
• Knowledge and experience with Azure or other cloud platforms, integrating with CI/CD tools like Git.
• Experience in developing LLMs and applying user-centered design methods, including user studies-ideally in voice-based interfaces.
• Basic skills in wireframing or prototyping tools such as Figma or ProtoPie are a plus.
• Ability to collaborate in a research and development team, contributing innovative ideas.
• Strong written and verbal communication skills in English; proficiency in German is a plus.

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: 10/15/2025

Duration: 6 months

Working hours: Full-time

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

We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here.