As part of our research in Privacy Preserving Machine Learning Initiative (https://www.microsoft.

com/en-us/research/group/privacy-preserving-machine-learning-innovation/publications/) , we are exploring novel architectures for improving privacy and confidentiality in machine learning models. We are looking for research interns to help us advance state of the art of the research in developing novel and explainable models to leverage information from multiple modalities, including images, text, and knowledge graphs, as well as improving interpretability and privacy of natural language processing models.

An ideal candidate would have a solid background in machine learning with a specialization in Natural Language Processing, Multi-modal Machine Learning, Explainable Machine Learning, and/or privacy for ML, as well as the motivation and ambition to apply this in a real-world setting. **Responsibilities** Alongside fellow doctoral candidates and senior researchers and a...