Working Student Optimization of a Neural Network (AI) for Collision Management

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: MER0003VXU Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. Product Lifecycle Management (ITD/RE) is dedicated to supporting our automotive development departments with innovative IT solutions to develop the products optimally. Collision management aims to ensure digital vehicle protection and avoid collisions in the assembly of the components. All components and their CAD models are tested for conflicts with adjacent components. The list of identified collisions is evaluated in the overall vehicle development according to criticality. With the introduction of AI solutions, these evaluations are to be automated. The validity of this evaluation depends on the quality of the training of the neural network, which is the basis for the decision for the AI. In this task, you will support the field in the overall vehicle development to improve the evaluation processes with artificial intelligence. These challenges include: Creation and evaluation of AI evaluation jobs

Extraction of data from the productive PDM system

In cooperation with the developer team, preparation of data for the training of the neural network

Evaluations of results compared to different AI tools and user evaluation

Plausibility check in Engineer Client

Feedback of evaluation errors and optimization of the neural network

The activity can begin from March 2026.

Degree in Business Informatics, Computer Science, Data Science, Mathematics, Physics, Industrial Engineering or a comparable degree course

Strong knowledge and ideally practical experience in machine learning and AI

Knowledge in programming languages such as python and related technologies are advantageous

Good organizational skills, independent work and joy in contact with employees

Experience in project coordination and organisation

Embossed Analytical Skills

Fit in Microsoft Office

Commitment and team skills

Analytical thinking and strategic working

Very good knowledge of German and English in word and writing

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester 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).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café