Are you a motivated student eager to gain hands-on experience in software development and automation? We are looking for a proactive learner to help enhance an automated bug triage bot that improves software issue handling within our speech platform team.

No extensive experience is required — just a strong willingness to learn, experiment, and grow on the job! You’ll have the opportunity to work alongside experienced developers, learn about automation and machine learning, and contribute to a real-world project that impacts software quality and efficiency.

Key Responsibilities:

• Learn and assess our existing bot, identifying areas for improvement based on the latest technical innovations
• Contribute to the design and development of an automated bug triage and backlog analysis bot
• Learn how to implement machine learning or rule-based algorithms to classify and group similar bug reports
• Analyse source code and map issues to specific components or areas of concern
• Gain insights into software development best practices by working closely with developers, QA, and product managers
• Help refine the bot’s accuracy and efficiency through hands-on problem-solving
  
  Why Join Us?
  
• Hands-on learning experience with real-world impact
• Mentorship from experienced engineers
• Opportunity to experiment with automation, AI, and software development
• A supportive team that values growth and learning over prior experience
• On-site collaboration to accelerate learning and teamwork

Working students can start working from September 2025.

• Currently enrolled in Computer Science, Software Engineering, or a related field. (min 4th semester Bachelor)
• Basic programming knowledge (Python or similar) is a plus, but what matters most is your motivation to learn
• Eager to explore machine learning for pattern recognition and automation
• Strong problem-solving mindset, curiosity, and ability to take initiative
• Motivated and ready to shape the future of #HeyMercedes voice assistant
• Must be available to work on-site at least once a week. Hybrid working mode
  

Ready to shape the future of software quality at Mercedes-Benz?

We look forward to your application!

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: sbv-sindelfingen@mercedes-benz.com

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 myhrservice@mercedes-benz.com 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.).