Berlin, Germany
Internship Explorer
Internship Explorer
The DAMS Lab research group is looking for a student assistant (d/m/w) to join the team and help with group-internal prototype development and experiments in the context of system-oriented research on data and machine learning (ML) systems for the end-to-end data science lifecycle from data integration, cleaning, and preparation, over efficient and scalable model training, to model debugging and deployment. The tasks include supporting activities under supervision in the following areas: * Support with open-source contributions to group-internal ML systems on high-level abstractions, compilation and runtime techniques, tests, as well as peripheral tools (APIs, system internals, and tools) [60%] * Support with the implementation of data analysis and ML pipelines developed at the chair (use cases, primitives, and applications from various domains, including health care and earth observation) [20%] * Support with the experimental evaluation of end-to-end ML pipelines, system components, and various baselines [20%]
