Graphics and multimedia
Principal Applied Scientist – Intelligent Conversation and Communications Cloud AI
The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Teams and other Microsoft services). We develop…
Creative Technology Development Lead
At Microsoft Creative Technology, part of the Microsoft Research Accelerator, we leverage the world’s leading scientific research to deliver state-of-the-art AI/ML and other emerging domains—technologies that revolutionize the human condition. As a Creative Technology Development Lead,…
Principal Applied Scientist – M365 Copilot Create ML team
Are you an applied scientist with a passion for applying state-of-the-art AI innovations to augment human creativity? Join us as we grow the M365 Copilot Create ML team, where we are revolutionizing visual creation within the…
Senior Applied Scientist – M365 Copilot Create ML team
Are you an applied scientist with a passion for applying state-of-the-art AI innovations to augment human creativity? Join us as we grow the M365 Copilot Create ML team, where we are revolutionizing visual creation within the…
Neural Representation Learning in the Wild: Toward Generalizable Representations and Scalable Citizen Science for Brain-Computer Interfaces
This talk will explore how large-scale self-supervised learning, combined with our latest multimodal neurotechnology—the newly released Muse integrating EEG and functional near-infrared spectroscopy (fNIRS)—and an open citizen science platform, accelerates the development of robust and…
Senior Applied Scientist – PowerPoint
The PowerPoint team is looking for an individual who has expertise in working with Large Language models (LLMs) and has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems…
VidTok introduces compact, efficient tokenization to enhance AI video processing
The VidTok method can enable AI systems to process and generate videos more effectively. Compact tokenization reduces computational costs while maintaining video quality across a potentially diverse set of applications.
