Job Description
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: MER0003PF9
During the internship in the Product Quality Development - Drive Systems department, we plan to develop a text mining architecture based on Large Language Models to analyze textual customer and workshop feedback.
During your internship in the Product Quality Development Drive Systems department, you can expect the following exciting tasks:
Assisting in the implementation of interdisciplinary digitalization projects in the fields of Advanced Analytics and Artificial Intelligence
Utilizing and training Large Language Models within the domain-specific Mercedes-Benz product quality area
Taking independent responsibility for data analysis, from conceptualization through model development to implementation, using advanced analytics methods (data mining, machine learning, deep neural networks…)
In addition to conceptualizing and developing a text mining architecture, you will gain significant insights into the daily development quality work in the Powertrain area, the failure elimination process, and related analysis procedures for identifying product weaknesses
The internship can start in September 2025.
Studies in the field of computer science, computational linguistics, business informatics, engineering or equivalent
Secure knowledge of German or English, both written and spoken
Confident handling of MS-Office
Commitment and ability to work in a team (also in an international project context)
Analytical mindset and strategic way of working
Strong and profound programming skills with Python
Hands-on mentality and exceptional commitment to the project
Further advantage:
Experience in the area of application and training of large language models (E. g. Entity Recognition, …)
Experience in the design and implementation of a text-mining architecture based on large language models
Experience in the use of few shot learning models
Experience in unsupervised clustering algorithms
First experience in Microsoft Azure Databricks
Additional information:
Please use the Mercedes-Benz portal with the specified job number for the application.
The internship position can be performed partly via mobile working (home office). A permanent presence at the Sindelfingen or Stuttgart-Untertürkheim site is not mandatory.
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 for Employees Possible
- Discounts for Employees Possible
- Annual Profit Share Possible
- Events for Employees
- Coaching
- Flextime Possible
- Hybrid Work Possible
- Health Benefits
- Company Retirement
- Mobility Offers
- Parking
- Near-Site Childcare
- Canteen, Café
- Good Public Transport
- Barrier-Free Workplace
- Inhouse Doctor