Thesis Machine Learning for Automated Driving (f/m/x)

BMW Group; München; Vor Ort; EUR 17.000 - 21.000; Teilzeit

Benefits dieser Stelle

Flexible working hours

Mobile work

Mentoring & onboarding

Student apartments in Munich (subject)

Zusammenfassung

BMW Group invites a thesis candidate to contribute to scalable data collection for automated driving in Munich. You will work on multi-modal, multi-sensor approaches to detect driving scenarios, using CLIP, VideoCLIP, and BLIP, and develop a compact fusion architecture for real-time processing.

Ideal candidates bring strong ML foundations, Python, and experience with PyTorch or TensorFlow, plus an interest in model optimization (distillation, quantization, pruning) and embedding sequence models.

Qualifikationen

• 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.

Aufgaben

• Review and assess multi-modal approaches for scenario and concept detection, including CLIP, VideoCLIP, and BLIP.
• Formalize the task as a multi-label, multi-modal, temporal classification problem using image, object, and location data.
• Define labeling requirements for a growing set of scenario concepts.
• Design a compact, multi-modal fusion architecture for processing multiple sensor data streams.
• Apply model optimization techniques such as knowledge distillation, quantization, and pruning.
• Build the training and evaluation pipeline and define suitable evaluation metrics.
• Assess onboard feasibility regarding runtime and memory footprint.

Kenntnisse

Python

PyTorch

TensorFlow

Machine learning

Deep learning

Computer vision

Multi-modal learning

Transformers

Quantization

Pruning

Distillation

Ausbildung

Bachelor's degree in CS/EE/Robotics/Data Science

Tools

Git

Docker

Jobbeschreibung

• Attractive & fair compensation.

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

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

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.