BMW Group is looking for a Master's student to complete a thesis internship focused on advancing autonomous driving technologies. In this role, you will develop innovative map-based visual localization solutions that combine computer vision, deep learning, and real-world map data.
What You'll Do
- Support the development and evaluation of learning-based methods for map-based visual localization.
- Review state-of-the-art visual localization techniques and analyze the impact of diverse map components.
- Contribute your research findings directly to the advancement of our map products.
- Drive the project with regular feedback from a mentor and dedicated expert team support.
What We're Looking For
- Current studies in computer science, artificial intelligence, robotics, or a related technical field (Master's program).
- Knowledge in computer vision and deep learning, familiar with modern vision transformers and scene representations.
- High proficiency in programming and debugging with Python, PyTorch, and OpenCV.
- Business-fluent English skills.
Nice to Have
- Prior project experience in computer vision or autonomous driving perception algorithms.
- German proficiency.
Technical Stack
- Python
- PyTorch
- OpenCV
Team & Environment
Work within a team focused on autonomous driving technologies, with dedicated mentor support. Experts treat you as part of the team from day one and encourage you to bring your own ideas.
Benefits & Compensation
- 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).
Work Mode
This position is onsite in Munich.
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.
