Working Student AI Research Engineer for SLM Optimization

Working student role in AI research: supporting the team with caching mechanisms for Small Language Models (SLMs).

• As a working student AI Research Engineer for SLM Optimization (m/f/d/x), you support the team in creating, refining and managing caching mechanisms for Small Language Models (SLMs).
• You contribute to training and further developing models for cache predictions.
• You also help configure and manage machine learning environments in the cloud.
• You work on the design and exploratory analysis of new caching strategies and contribute your own ideas.
• You support the selection, development and integration of the latest technologies in innovative research projects.
• You also work in an agile product development team with experienced developers from different disciplines.

• You study 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 structure and functioning of transformer models.
• You are highly motivated, work in a structured way and enjoy engaging with new technologies and topics.
• Very good self-organization and the ability to learn new topics independently round off your profile.
• Proven excellent German and English skills
• Complete application documents (cover letter, CV, transcript, enrollment certificate and, if applicable, residence permit/work permit)