We, the BMW Group, offer you an exciting and varied internship in AI-driven simulation for autonomous driving. Our team develops high-quality synthetic data using advanced generative AI models to support the training and validation of machine learning algorithms in 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 or 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.
- You will help to solve complex challenges using generative AI techniques.
- 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.
You enjoy working in an international team? 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: 11/01/2025
Duration: 6 months
Working hours: Full-time
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.
