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TavusTavusSan Francisco, CA

AI Researcher (Multimodal Audio/Video Generation)

Leads research in multimodal audio-visual avatar generation for conversational AI, focusing on diffusion models, long-video synthesis, and integrating verbal/non-verbal signals. Requires PhD, 2-3+ years in generative models, PyTorch expertise, and top-tier publications.

Salary not listed
On-site2+ YOEAI Research

About the role

Responsibilities

  • Lead research efforts on audio-visual generation for avatars (Neural Avatars, Talking-Heads), with a focus on conversational settings.
  • Design models that are coupled with conversation flow — capturing and generating verbal + non-verbal signals in sync.
  • Drive innovation in diffusion models, long-video generation, and audio-visual modeling.
  • Translate research into production by partnering with Applied ML and engineering.
  • Mentor researchers, set research directions, and publish impactful work.

Requirements

  • PhD or equivalent research experience, plus 2–3+ years of hands-on experience applying generative models at scale.
  • Expertise in diffusion models and awareness of the latest efficiency techniques.
  • Experience in multimodal generation — spanning video, audio, and language.
  • Proven innovation in long-video generation and/or audio generation.
  • Excellent programming skills — fluent in PyTorch and GPU-optimized workflows.
  • Track record of publications in top-tier venues (CVPR, NeurIPS, BMVC, ICASSP, etc.).
  • Experience leading research activities or mentoring teams.

Nice-to-Haves

  • Skills in 3D graphics, Gaussian splatting, or large-scale training setups.
  • Broad exposure to generative AI models beyond your specialty.
  • Familiarity with software development best practices.

Skills

PyTorchDiffusion ModelsMultimodal GenerationVideo GenerationAudio Generation3D GraphicsGaussian SplattingGenerative AILong-Video GenerationGpu-Optimized Workflows

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