Research Scientist - Interactive Avatars

📋 Description Contribute to the research direction for dyadic interaction modeling, and own well-scoped research Advance the state of the art in the perceptual layer of interactive agents, including understanding Post-train multimodal models to generate rich, natural dyadic interactions from user audio and Adapt diffusion models to new conditioning signals, such as conversational state, turn-taking, and Build robust evaluation frameworks and test suites for continuous tracking of interaction quality. Partner with our data team to define data needs and shape high-quality datasets. 🎯 Requirements A strong ML background and hands-on experience with diffusion models, ideally for video or avatar Publications at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH) in areas Experience taking research ideas through to working implementations, and motivation to see them Proficiency in PyTorch and modern ML tooling for large-scale training. Clear communication of hypotheses, experiments, and results. Experience with real-time or streaming generation, including autoregressive video diffusion (nice 🎁 Benefits Build production-scale video foundation models in a fast-growing Generative AI company. Work on human-centric video generation with real-world impact. Tackle hard problems in scaling, stability, and controllability. Influence the direction of next-generation synthetic human technology. Join a highly technical, high-ownership environment where your work ships.