Intern GenAI Algorithms for Vehicle Functions
Original title: Praktikant GenAI-Algorithmen für Fahrzeugfunktionen (w/
This job is at BMW AG. You apply to them, not to GoAusbildung.
Start Date
November 23, 2026
Sector
Automotive
Salary
Competitive salary
Listing data as of November 1, 2026
About this Apprenticeship
A GOOD INTERNSHIP IS PRACTICALLY NEVER THEORETICAL. SHARE YOUR PASSION. Success is teamwork. Only when experts share their expertise and enthusiasm does a workflow emerge where ideas flow. That's what we call innovation culture. That's why we give students not only the opportunity to listen, but above all to have a say and think ahead. Our team at the BMW Group is revolutionizing the way vehicles are controlled. We rely on virtual and innovative algorithms such as Generative Artificial Intelligence (GenAI) in the vehicle to drive the digital transformation of the automotive industry. During your internship, we will shape the future of mobility together with innovative solutions.
What You'll Learn
- You help design algorithms for vehicle functions and gain insight into vehicle development.
- You also have room to shape your own project in a highly motivated team that enjoys developing GenAI algorithms.
- You also work in an international team and get exciting tasks in our interdisciplinary project setting.
- You also help work on tasks independently and regularly get feedback from your mentor.
Requirements
- Studies in Computer Science, Software Development or comparable STEM programs (Master's or advanced Bachelor's).
- Interest in vehicles and motivation to shape the mobility of tomorrow.
- Ability to structure complex relationships and processes.
- Very good Python skills and experience implementing generative AI models (LLMs, VLMs).
- Familiarity with common AI methods and strong interest in GenAI.
- Structured way of working and confident manner.
- Confident use of MS Office and good German and English skills.
What BMW AG offers
- Comprehensive mentoring and onboarding.
- Personal and professional development.
- Flexible working hours.
- Mobile working.
- Attractive and fair pay.
- Apartments for students (subject to availability and only at the Munich site).
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