Intern Generative AI for Vehicle Design (f/m/x)
At a glance
Junior AI Engineering role at BMW Group. Munich.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help build a post-training pipeline for 3D generative models used in vehicle design
- Develop data-efficient ways to condition models on performance measures and aerodynamic properties
- Test Vision-Language Models as automated reviewers of generated images and 3D objects against aesthetic and technical criteria
- Work with researchers and engineers on generative AI research and contribute to scientific publications
What you bring
- You are studying computer science, engineering, natural sciences or a related discipline
- You bring substantial Python programming experience and hands-on use of deep learning frameworks, especially PyTorch
- You have explored reinforcement learning beyond standard coursework through a personal project or advanced class project
- You can work fluently in English and bring an organized, collaborative approach
Who this fits
This full-time internship suits a student interested in research-led generative AI for vehicle design and working with an interdisciplinary team. It runs for six months, with the earliest start date on November sixteenth, twenty twenty-six, in Munich. German is a plus.
From the employer
THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.
SHARE YOUR PASSION.
World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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.
Our team at the BMW Group conducts cutting-edge research at the intersection of academia and industry, shaping the future of automotive design with generative AI. Together with researchers and engineers, you support us during your internship in advancing state-of-the-art 3D generative models, which may also be featured in high-level AI and Computer Vision publications.
What awaits you?
- You support the design and development of a pipeline for post-training 3D generative models for vehicle design applications.
- Furthermore, you help develop data-efficient techniques for conditioning generative models on new modalities such as performance metrics or aerodynamic properties.
- In addition, you help explore Vision-Language Models (VLMs) as automated evaluators for generated images and 3D objects, assessing designs against aesthetic and technical criteria.
- Moreover, you take part in an interdisciplinary research team, helping to push the boundaries of generative AI and contributing to scientific publications.
What should you bring along?
- Studies in computer science, engineering, natural sciences, or a related field.
- Extensive programming experience in Python and practical knowledge of Deep Learning frameworks, particularly PyTorch and its ecosystem.
- Experience with Reinforcement Learning beyond standard university courses, demonstrated through a personal or advanced coursework project.
- Scientific mindset and strong enthusiasm for applying cutting-edge research to real-world challenges.
- Ability to contribute in a collaborative, organized, and structured manner.
- Fluent in English; German language skills are a plus.
Would you like to help shape the future of automotive design with generative AI? 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/waswirbieten.
Start date: Earliest start date 16.11.2026
Duration: 6 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.