Intern Interior Sensing

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003Z74 The automotive industry is facing a new era of intelligent vehicle interiors that not only recognize the presence and body language of the occupants, but also intuitively respond to their needs. At Mercedes-Benz, we pursue the vision of such an intelligent interior that offers a seamless and safe driving experience through the activation of suitable infotainment, comfort and safety functions. The first elements of this vision can already be experienced in our vehicles: from the second sleep detection to contactless gesture control and profile selection by facial recognition to the representation of three-dimensional contents in the combination and augmented reality head-up display. These functions are based on precise estimates of body and face characteristics and provide a solid basis for further research and development in the field of interior design. With a focus on innovation, performance, design and economy, we are driving our projects forward. Thanks to our internal matrix organization, experts from hardware development, testing, functional and software development combine to achieve visionary goals together. For this we develop AI-based software as well as sensor hardware and control units. Last but not least, we define customer functions and thus shape the user experience of our future vehicle generations. We are looking for a dedicated intern or a dedicated intern to support our development team. Your specific tasks are individually tailored to your personal skills and interests. Crossing beginners are also welcome! As an agile and highly motivated team, we design the automotive future and look forward to passionate students who want to experience this adventure together with us.

Be part of our vision and actively support us in addressing individual aspects of the following exciting challenges that optimize the flow of data from generation to model use: Structure and extension of data generation and detection systems: You work with the design and implementation of solutions for the efficient generation of raw data from vehicle sensors as well as high-precision ground-Truth data in a vehicle/simulator environment

Development of data processing and labeling workflows: You support the design and implementation of processes for preprocessing, annotation and quality assurance of the collected data to prepare them for the training of machine learning models

Analysis and benchmarking of ML architectures: You will see and analyze various existing datasets and support the implementation and testing of proposed machine learning architectures - helping you evaluate their performance and identify optimization potentials through benchmarking

Integration and processing of data in the cloud infrastructure: You help to connect data storage to our proprietary cloud infrastructure and develop workflows to process this data - this includes writing data blockers and preparing data for training in our existing cloud environment. The simple visualization of data for analysis also includes:

Support in model development and delivery: You help to guide the data stream through the entire pipeline, from data provision to support in training ML models and their deployment in containers

The activity can begin from April 2026.

Degree course: studies in technical or scientific fields, such as computer science, data science & AI, electrical engineering, mechatronics, vehicle technology, physics or comparable

Programming skills & data competence: Python's programming knowledge is presumed - basic knowledge of machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch) as well as understanding of data pipelines and data structures are desirable

Cloud & Tool experience: First experience with version control (Git), containerization (Docker) and ideally CI/CD concepts is desirable

System understanding: Basic understanding of camera systems and other sensor technologies in the automotive sector and interest in deep learning/machine learning

Knowledge of German and English in Word and Writing

Soft Skills: Embossed Analytical and Strategic Thinking, High Initiative, Teamability and Communication Strength

Tools: Secure handling of MS Office applications (Outlook, Word, PowerPoint)

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with a specification of the semester, if necessary. Compulsory internship certificate and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (SBV-Sindelfingen@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

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