Beschreibung
Stellenreferenz: 180842
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that’s why our ...
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Stellenreferenz: 180842
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And 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.
We focus on producing high-quality synthetic simulation data using advanced generative AI models to effectively train and validate machine learning algorithms within autonomous driving environments.
What awaits you?
- You will support the advancement of synthetic data generation for autonomous driving.
- Furthermore, you help to develop and optimize advanced data generation and simulation models.
- In addition, you will assist with hands-on tasks using cutting-edge computer vision and latent diffusion models.
- Moreover, you contribute to impactful solutions for autonomous driving environments.
- Furthermore, you support the optimization of machine learning pipelines, architectures, and algorithms.
What should you bring along?
- Studies in computer science, artificial intelligence, or a related field.
- Advanced expertise in machine learning and deep learning, both theoretical and practical.
- Proficiency in Python, PyTorch, and Huggingface.
- Hands-on experience with generative models, especially diffusion-based architectures.
- Skill in designing and optimizing machine learning training pipelines, model architectures, and data workflows.
- Experience in synthetic data generation and their challenges.
- Good German and English skills.
Do you enjoy learning new things and broadening your horizon? Then Apply now!
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Student apartments (subject to availability & only at the Munich location).
- And much more, seebmw.jobs/whatweoffer
Start date: earliest start 05/01/2026
Duration: 6 months
Working hours: Full-time
You can find helpful tips on your application and the application processhere .
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 morehere .
Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered.
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