Staff Research Scientist- Interactive Avatars

📋 Description Set the research direction and roadmap for dyadic interaction modeling, balancing long-term bets 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 Deep ML expertise and extensive hands-on experience with diffusion models, ideally for video or A strong publication record at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR Experience leading a small team of researchers and mentoring junior members. A track record of taking research from idea to production. Proficiency in PyTorch and modern ML tooling for large-scale training. Clear communication of hypotheses, experiments, and results, and the ability to influence direction 🎁 Benefits Competitive compensation Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe. 25 days of annual leave + public holidays Great company culture with the option to join regular planning and socials at our hubs + other benefits depending on your location