Praktikant*in Machine learning und Computer vision

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: MER00040WQ We develop technological innovations, digital products and pioneering solutions on artificial intelligence exclusively for Mercedes-Benz. We set new standards in the field of automotive engineering and the digitization of quality control. For us, Advanced Analytics & AI are not Buzzwords, but our passion that we experience in our projects. We develop models for machine learning, implement the latest AI technologies and are the architects of quality assurance for our business. With our digital projects, we create a measurable added value by means of data-driven decision-making and thus achieve both a facilitation of the work of our colleagues and a more significant potential for our company. You are responsible for developing and implementing few-shot and zero-shot-deep-learning techniques for various computer vision tasks. This will drive innovations in our company through artificial intelligence and integrate them into existing systems and processes. This role requires well-founded knowledge of the basics and principles of artificial intelligence and machine learning. You should also have experience with programming languages and frameworks such as Python and PyTorch. Expect as an intern in the field of Deep Machine Learning and Computer Vision You'll find exciting tasks like: Working with algorithms for quality testing in demanding applications for factory environments Investigation of the potential of foundation models for industrial quality testing Investigate XAI algorithms for Vision Language models Evaluation of semi- and unmonitored learning in high-precision computer vision applications Use of our framework for fully synthetic training of computer vision applications Assessment of the influence of record features on learning different AI models The activity can begin from May 2026.

Course in Computer Science, Software Development or other relevant areas, ideally focusing on artificial intelligence Knowledge of the programming language Python and experience with Jupyter Notebook Knowledge and experience in training and development of AI projects with PyTorch or TensorFlow Knowledge or experience with computer vision techniques and applications Hands-on-Mentiality for prototyping hardware demonstrators for proof-of-concept models Enthusiasm for the latest developments in deep learning – Experience with Foundation Models is an advantage German and English knowledge in word and writing are advantageous 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).

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