Internship in SW development with AI starting March 2025

Mercedes-Benz AG

Jobbeschreibung
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job-ID: MER0003JD4

The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, which is responsible for the Mercedes-Benz Cars and Mercedes-Benz Vans divisions, Daimler Truck AG, which combines the Daimler Trucks and Daimler Buses divisions, and Daimler Mobility AG, the vehicle manufacturer is one of the largest suppliers of premium passenger cars and is the largest manufacturerm of commercial vehicles in the world.

At Mercedes-Benz Cars Development, we shape the mobility of the future. By this we mean innovative products of the highest quality as well as efficient development methods and processes.

Within the world of our Mercedes-Benz Operating System (MB.OS) we develop the SW for central and zonal control units (ZC) with high performance gateways that represent the heart beat of our cars. By the help of new working methods, we develop innovative technical solutions and put Mercedes-Benz in the driver's seat for software development and software integration. For our highly motivated development team we are looking for you as an Intern in our team.

The ZC SW-Application (SWC) integration is the key player in creating the final flash-ready ECU SW for the Zone Controllers MB.OS 2.0. The integration includes the continuous implementation of the communication matrices, the integration of more than 100 software applications and the further development of the classic AUTOSAR stacks. During the application integrations, we have many validation errors which we analyze and write Solving Actions for each of those errors. To make this process more efficient, we would like to utilize ML/AI approaches.

We are seeking a motivated and detail-oriented Intern with AI background to do:

  • Model Research: Conduct research on possible AI models for our use case
  • Data Preparation: Assist in curating and preparing datasets of from our database of known errors
  • Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes
  • Testing & Validation: Test the AI agent's performance on different types of error code, validating the quality of error detection and the relevance of suggested fixes
  • Error Analysis: Analyze failed attempts and provide feedback to improve the AI agent's accuracy in understanding and fixing code issues
  • Documentation: Help document the training processes, including strategies for data preparation, error detection, and model performance improvements

Ideally you qualify for this job

  • Currently pursuing a degree in Computer Science, Software Engineering, Data Science, or a related field
  • Experience with machine learning frameworks and developing AI agents is preferred (but may not be mandatory if the candidate demonstrates a strong willingness to learn and has a solid foundation in the field of Machine learning and Generative AI)
  • Experience with data annotation or similar tasks in AI training
  • Basic understanding or experience with Autosar is a plus
  • Strong analytical and problem-solving skills along with effective communication and collaboration skills

What You'll Gain:

  • Hands-on experience in training an AI system that will shape the future of software development for Automotive ECUs
  • Exposure to cutting-edge AI techniques in natural language processing and machine learning
  • Opportunity to collaborate with industry professionals who thrive on tackling complex challenges

Additional information:

It doesn't work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.

Please find the criteria of employment "here".

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: [email protected].

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at [email protected] or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).


  • Meal-Discounts
  • Mobile Phone possible
  • Discounts for employees possible
  • Annual profit share possible
  • Events for employees
  • Coaching
  • Flexitime possible
  • Hybrid Work possible
  • Health Benefits
  • Company Retirement
  • Mobility offers
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