Aktiviere Job-Benachrichtigungen per E-Mail!

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

BMW M Motorsport / BMW Group

München

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading automotive company in Munich offers a Master's thesis in intelligent mobility, focusing on Human-AI interaction for in-vehicle personal assistants. Candidates will support development using Python and have the chance to plan user studies. Ideal for students in computer science or media informatics with strong Python skills. This position includes comprehensive mentoring, flexible hours, and attractive compensation.

Leistungen

Comprehensive mentoring & onboarding
Personal & professional development
Flexible working hours
Mobile work
Attractive & fair compensation
Apartments for students

Qualifikationen

  • Studies in computer science, media informatics or a related field.
  • Experience in developing LLMs and applying user-centered design methods.
  • Strong written and verbal communication skills in English.

Aufgaben

  • Support core development activities using Python and LLM libraries.
  • Contribute to the platform across multiple languages and frameworks.
  • Assist in planning and executing a user study with an LLM-based prototype.
  • Support the design of adaptive in-car user interfaces.

Kenntnisse

Python
User-centered design methods
Collaboration
Communication skills in English

Ausbildung

Computer Science
Media Informatics

Tools

Figma
ProtoPie
Azure
Jobbeschreibung
Overview

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.

Responsibilities
  • 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.
Qualifications
  • 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 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.

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.