Apply now!
We are Mercedes-Benz Tech Innovation - but we don't build cars: We define the future with technology.
As the largest tech company of Mercedes-Benz Group AG, around 2,500 employees in Ulm, the Stuttgart area, Berlin and Karlsruhe as well as in international tech hubs work on the technology trends of tomorrow's mobility.
We are united by our enthusiasm for innovation and the latest technologies - combined with the conviction that individual freedom and personal responsibility are crucial for real progress. We are #techinnovators.
Learn more about us Mercedes-Benz Tech Innovation GmbH
Your tasks?
As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).
You will contribute to the training and further development of models for cache prediction.
You will also support the configuration and management of machine learning environments in the cloud.
You will work on the design and exploratory analysis of new caching strategies while contributing your own ideas.
You will support the selection, development, and integration of the latest technologies as part of innovative research projects.
In addition, you will collaborate with experienced developers from various disciplines in an agile product development team.
Your profile?
Ready to get started? If you impress us with proven excellent German and English skills and submit your complete application documents (cover letter, CV, transcript of records, certificate of enrollment and, if applicable, residence permit/work permit), you are just one click away from your opportunity.
A quick tip: With the large number of top applications we receive, a complete application is your ticket to the game. Unfortunately, we cannot proceed with your application without the complete package. No exceptions!
You are currently studying Computer Science, Business Informatics, or a comparable degree program.
You already have experience in software development with Python.
You have knowledge of deep learning and are familiar with the architecture and functionality of transformer models.
You are highly motivated, work in a structured manner, and enjoy exploring new technologies and topics.
Excellent self-organization skills and the ability to independently familiarize yourself with new topics complete your profile.
Benefits
Flexible working hours
To ensure that there is still enough free time in addition to studying and working, you will receive a pro rata 30 vacation days with us as well as the opportunity to plan your working hours flexibly. In coordination with your team and your contact person, you also have the opportunity to work remotely. In addition, almost all of our positions are suitable for part-time work.
Become a full-fledged member of the team
You accompany innovative projects at the cutting edge and take on responsible tasks, so you are a full-fledged member of our team right from the start! Of course, you benefit from an attractive salary.
Our culture
At Mercedes-Benz Tech Innovation, we are a team! Our cooperation is based on mutual trust and respect. Flat hierarchies, an appreciative atmosphere, openness and open-mindedness are part of our daily work. In order for your start with us to succeed, you will receive an individual onboarding and a direct contact person.
Summary
Support development and optimization of caching mechanisms for small language models, including model training for cache prediction, cloud ML environment configuration, and exploratory caching strategies. Requires current enrollment in a computer science or related program, Python experience, deep learning and transformer model knowledge, and excellent German and English.
Responsibilities
Support development, refinement, and management of caching mechanisms for Small Language Models; contribute to training and development of cache prediction models; support configuration and management of ML environments in the cloud; design and analyze new caching strategies; collaborate in an agile product development team.
Qualifications
Currently studying Computer Science, Business Informatics, or a comparable degree program; experience in software development with Python; knowledge of deep learning and transformer model architecture/functionality; highly motivated, structured, self-organized.
Education requirements
Currently studying Computer Science, Business Informatics, or a comparable degree program.
Experience requirements
Experience in software development with Python; knowledge of deep learning and transformer models.
How to apply
Complete application documents: cover letter, CV, transcript of records, certificate of enrollment and, if applicable, residence permit/work permit.
Benefits
Pro rata 30 vacation days; flexible working hours; opportunity to work remotely; suitable for part-time work; attractive salary; flat hierarchies; individual onboarding and direct contact person.