Lead research efforts on generative video models (ex: Neural Avatar, Talking-Head, Lip-sync, and other low level computer vision topics). Work with the Applied ML team to help productionize our research and stay relevant with the latest advancements (and help us create the latest advancements!). The ideal candidate should have strong foundations in generative modeling, ideally with a focus on image or video synthesis, and a demonstrated ability to innovate rapidly through prototyping. Deep experience with diffusion models (DDPMs, LDMs, etc.) for either image or video domains and fluency in PyTorch is required.