Schlieren, Switzerland










As a Research Intern, you will conduct novel and advanced research with internal members. You are expected to be self-motivated and have the ability to conduct and implement innovative ideas through internal collaborations. Our primary research interest include (but are not limited to): Efficient and/or scalable training/sampling of deep generative models Technologies for safe deep generative models, such as memorization mitigation/detection, concept erasing, and training data attribution Representation learning framework for multimodal generative models We expect the outcome of your research will be published as academic papers.