Thesis Machine Learning for Automated Driving (f/m/x)
Required skills
Job description
BMW Group posted this role. Below, we break down what it means for a working student in Munich: your weekly hours, take-home pay and visa limits.
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Description provided by BMW Group
Job Title: Thesis Machine Learning for Automated Driving (f/m/x)
Posting Start Date: 9/1/26
Job Location (Long):
Munich, Bayern 80809
Germany
Job Description
Our team at the BMW Group develops new approaches for scalable data collection in automated driving. We focus on compact, multi-modal trigger models that reliably and precisely detect relevant driving situations. As part of your thesis, you support our team in developing and optimizing these models.
What awaits you?
- You will support the review and assessment of multi-modal approaches for scenario and concept detection, including CLIP, VideoCLIP, and BLIP.
- Furthermore, you help formalize the task as a multi-label, multi-modal, temporal classification problem using image, object, and location data.
- In addition, you support the definition of labeling requirements for a growing set of scenario concepts.
- Moreover, you assist in designing a compact, multi-modal fusion architecture for processing multiple sensor data streams.
- Furthermore, you help apply model optimization techniques such as knowledge distillation, quantization, and pruning.
- In addition, you contribute to building the training and evaluation pipeline and defining suitable evaluation metrics.
- Moreover, you support the assessment of onboard feasibility regarding runtime and memory footprint.
What should you bring along?
- Studies in computer science, electrical engineering, robotics, data science, or a related field
- Strong foundation in machine learning and deep learning, ideally with experience in computer vision or multi-modal learning
- Proficient in Python and experienced with common ML frameworks such as PyTorch or TensorFlow
- In-depth knowledge of model optimization techniques such as quantization, pruning, or distillation as well as experience with sequence models such as transformers is a plus
- Interest in automated driving, sensor fusion, and embedded or edge ML deployment
- Structured and precise working approach along with strong team spirit
- Very good English skills; German skills are a plus
Would you like to help shape compact, multi-modal AI models for automated driving? 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 10/01/2026
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.
Working student essentials
What this Tech working student role in Munich means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.
Weekly hours
Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.
Working student rulesSocial contributions
Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
