Intern Generative AI for Vehicle Design (f/m/x)

BMW Group; München; Hybrid; EUR 17,000 - 23,000; Full time

Benefits offered by this job

Apartments for students

Flexible working hours

Mobile work

Mentoring & onboarding

Professional development

Job summary

BMW Group is seeking a motivated intern to advance state-of-the-art 3D generative models for vehicle design. You will assist in building pipelines for post-training models and develop data-efficient conditioning techniques for new modalities, including performance metrics and aerodynamics.

You will explore Vision-Language Models as automated evaluators for generated images and 3D objects, and contribute to interdisciplinary research and publications with an enthusiastic, collaborative team.

Qualifications

• Studying CS, engineering, natural sciences, or related field.
• Strong programming in Python and DL frameworks.
• Experience with RL beyond coursework.

Responsibilities

• Support design of a pipeline for post-training 3D generative models for vehicle design.
• Help develop data-efficient conditioning techniques for new modalities.
• Explore Vision-Language Models as automated evaluators for generated designs.
• Collaborate in interdisciplinary research and contribute to scientific publications.

Skills

Python

Deep Learning

Reinforcement Learning

English language

Education

Pursuing studies in Computer Science, Engineering, or related field

Tools

PyTorch

Job description

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.

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

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.