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.