Mandatory internship in the field of electric drive development with a focus on artificial intelligence from August 2025

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: MER0003K7K We develop the main drive for future Mercedes Benz vehicles – our task is to bring the star into play and that we do with great effort and attention to detail. As a member of our team, you have the opportunity to advance interdisciplinary projects in the field of electrified power train. You support in answering technical questions and solving technical problems related to our specifications, for example, by using generic AI. In addition, you will implement new features in the Gen-AI framework or develop it further. We offer you the opportunity to get deep insights into the world of artificial intelligence, as well as into the development of electric drives and to experience the everyday life of a development and software engineer close to the skin. You will do the following tasks: Working with the implementation and optimization of AI agency systems to improve performance and accuracy Analysis and processing of data for continuous improvement of model performance Support in commissioning and collecting feedback from selected test groups Presentation and documentation of status and progress Exchange with AI experts and software departments Cooperation in the evaluation and production of load booklet contents

Course in Computer Science, Electrical Engineering, Business Informatics, Mechatronics or a comparable course Complete basic study or Bachelor desirable First experiences with Natural Language Processing (NLP) and the processing of sequential data Ideally experience with NLP Frameworks and databases such as Llama Index/Langchain and Chroma DB for efficient data management and query Knowledge of different agent types and database types, including vector databases, knowledge graphs and property graphs Basic knowledge of Python and JavaScript Frameworks such as Vue.js to develop user-friendly frontend applications Experience with the Flask Framework to create backend services and APIs Knowledge of Git for version control and collaborative software development Analytical and innovative thinking Responsibility awareness as well as outcome and target orientation Extraordinary initiative Embossed team skills and openness Please note that your internship at this site must have a prescribed mandatory share. Additional information: Of course, without formalities, we are not. Please apply exclusively online and add a CV to your application, current enrollment certificate with semester indication, current grade, relevant certificates, if applicable. Compulsory internship certificate and proof of the rule period (maximum size of the annexes 5 MB) and in the online form mark your application documents as ''relevant for this application'. Further information on the setting criteria can be found here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive online applications of disabled people and disabled people. If you have any questions, you can also contact the SBV-Untertuerkheim@mercedes-benz.com to represent the site with a severe disability, which will be happy to support you in the further application process after your application. Please understand that we no longer accept paper applications and there is no claim to return. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).

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 Child care Parking space Kantine, Café Good connection Accessibility Business doctor