A strong ML background and hands-on experience with diffusion models, ideally for video or avatar generation.
Publications at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH) in areas such as world models, dyadic interaction, or video diffusion, or equivalent demonstrated impact.
Experience taking research ideas through to working implementations, and motivation to see them reach production.
Proficiency in PyTorch and modern ML tooling for large-scale training.
Clear communication of hypotheses, experiments, and results.
Nice to Have
Experience with real-time or streaming generation, including autoregressive video diffusion.
Distillation or other techniques for low-latency inference.
Audio-driven facial, gesture, or full-body motion modeling.
Conversational modeling, such as turn-taking, backchanneling, or listener-response generation.
Experience mentoring students or junior researchers.
What You'll Be Doing
Contribute to the research direction for dyadic interaction modeling, and own well-scoped research problems end to end.
Advance the state of the art in the perceptual layer of interactive agents, including understanding user audio and video and generating contextually appropriate reactions.
Post-train multimodal models to generate rich, natural dyadic interactions from user audio and video inputs.
Adapt diffusion models to new conditioning signals, such as conversational state, turn-taking, and listener cues.
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.
Run rigorous experiments, and share findings that inform the team's technical decisions.
Perks and 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