• Define the research direction and roadmap for dyadic interaction modeling, balancing long-term research opportunities with immediate product priorities.
• Advance the perceptual capabilities of interactive AI agents, including understanding user audio and video and generating contextually appropriate responses.
• Develop and post-train multimodal models capable of producing rich, natural, and responsive dyadic interactions from audio and video inputs.
• Adapt and extend diffusion models to incorporate conversational conditioning signals such as dialogue state, turn-taking, listener cues, and contextual reactions.
• Research and develop models capable of generating natural conversational behaviors, including gaze, facial expressions, body reactions, and backchannel responses.
• Design robust evaluation frameworks, benchmarks, and automated test suites to continuously measure interaction quality.
• Collaborate closely with data specialists to define data requirements and shape high-quality datasets for model development and training.
• Lead technical decisions spanning research, data, and engineering, ensuring strong alignment between research goals and product requirements.
• Lead and mentor a small team of researchers, supporting their technical development and helping establish a high-performing research culture.
• Drive research projects from initial hypothesis and experimentation through validation, productionization, and product impact.
• Communicate research hypotheses, methodologies, experimental results, and technical recommendations clearly to both research and cross-functional audiences.

Requirements:

• Deep expertise in machine learning with extensive hands-on experience working with diffusion models, ideally applied to video generation, avatar generation, or related multimodal applications.
• Strong research track record demonstrated through publications at leading conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or SIGGRAPH, or equivalent evidence of significant research impact.
• Expertise in areas such as video diffusion, world models, dyadic interaction modeling, multimodal generation, or related fields.
• Proven experience leading a small team of researchers and mentoring junior research talent.
• Demonstrated ability to take research concepts from initial idea through experimentation and into production systems.
• Strong proficiency in PyTorch and modern machine learning tooling for large-scale model training.
• Strong understanding of multimodal learning, generative modeling, and large-scale ML experimentation.
• Excellent analytical and problem-solving abilities, with a rigorous approach to designing experiments and evaluating results.
• Clear communication skills and the ability to explain complex technical concepts, influence research direction, and collaborate effectively across teams.
• Strong ownership and ability to operate in a fast-moving research environment where experimentation and iteration are encouraged.

Nice to have:

• Experience with real-time or streaming generation, including autoregressive video diffusion.
• Expertise in model distillation or other techniques designed to achieve low-latency inference.
• Experience with audio-driven facial animation, gesture generation, or full-body motion modeling.
• Experience in conversational modeling, including turn-taking, backchanneling, listener-response generation, or related interaction behaviors.
• Experience developing AI systems designed for real-time human-machine interaction.

Benefits:

• Competitive compensation package.
• Fully remote working option within Europe.
• Hybrid working opportunities for employees based near London, Munich, or Zurich offices.
• 25 days of annual leave plus public holidays.
• Opportunity to work alongside a large team of AI researchers and engineers at the forefront of generative AI.
• Direct opportunity to influence the research roadmap and development of emerging interactive AI technologies.
• Strong culture focused on building, experimentation, autonomy, and high-impact execution.
• Regular opportunities to connect with colleagues through office hubs, planning sessions, and social events.
• Collaborative environment with access to multidisciplinary expertise across research, engineering, and data.
• Opportunity to mentor researchers and contribute to the development of advanced AI research capabilities.
• Work on real-world AI products used by leading organizations across multiple industries.
• Commitment to responsible AI, with strong emphasis on safety, ethics, security, and human-centered technology.
• Additional location-specific benefits depending on where you are based.