We, the BMW Group, offer you an interesting and variedinternship in the area of AI-based Recommender Systems. In our scrum team, we work on AI-based vehicle functions for the BMW Intelligent Personal Assistant (IPA). We are developing a proof-of-concept for an AI-based Recommender System which includes data analysis, model development and deployment in a prototype. As a part of our international team, you would support the conception and realization of novel AI solution modules that make innovative digital customer functions, experienceable and enjoyable.
What awaits you?
- You support the development of software applications and machine learning models using state-of-the-art technology.
- Exploring customer analytics data to investigate in-car function usage during a drive is part of your role.
- You prototype and evaluate machine learning models for our AI-based Recommender Systems.
- Daily, you tackle exciting and changing challenges in an agile environment requiring creative solutions.
What should you bring along?
- Studies in Computer Science, Electrical/Information Technology, Mathematics, Robotics, or a comparable course of study.
- Hands-on experience in Machine Learning and Transformer Architecture (LMMs).
- Proficiency in Python, developing FastAPI, and DevOps on Amazon Web Services.
- Familiarity with Docker and GitHub Actions.
- Business-fluent English; German skills are an advantage.
You are enthused by new technologies and an innovative environment? Apply now!
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive & fair remuneration.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits - see jobs/benefits
Earliest starting date: 11.08.2025
Duration: 6 months
Working hours: Fulltime
Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.
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.
