Student Assistant, DEEM Lab, IV-SB-0079-2025
Student Assistant, DEEM Lab
Develop runtime systems at BIFOLD, DEEM Lab / TU Berlin. Work on real ML workflows
Your responsibility
The DEEM Lab conducts research at the intersection of data engineering and machine learning. Our goal is to develop efficient data systems for AI and machine learning applications that are easy to use while simultaneously guaranteeing the fundamental rights of users (such as the "right to be forgotten").
We are looking for support for our BIFOLD project. The aim of the project is to develop an efficient runtime for data science pipelines.
- Support with implementing features and optimizations (50%)
- Support with modifying and extending skrub components as needed (30%)
- Support with writing tests and benchmarks (20%)
The student assistant will also be included as a co-author on resulting scientific publications.
Your profile
Required Qualifications:
- Solid knowledge of machine learning (concepts, models, and workflows)
- Proficiency in Python
- Experience using libraries (scikit-learn, pandas, polars, or PyTorch)
- Strong understanding of scalable data processing
- Working knowledge of at least one systems programming language (Java, C++, or Rust)
- Prior experience contributing to data systems or machine learning frameworks
- Good knowledge of German and/or English required; willingness to acquire the respective missing language skills
Nice to Have:
- Prior exposure to open-source development practices or contributions to open-source projects
Employer: TU Berlin / BIFOLD
Salary grade: 15.08 euros/hour (80 hours per month)
Closing date: February 11, 2026
Full job posting: IV-SB-0079-2025