AI Researcher (Multimodal Audio/Video Generation)

Tavus

$130K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or equivalent research experience with 2-3+ years in generative models.
  • Deep expertise in diffusion models and latest efficiency techniques.
  • Hands-on experience in multimodal generation involving video, audio, and language.
  • Demonstrated innovation in long-video and/or audio generation.
  • Strong programming skills, especially with PyTorch and GPU workflows.
  • History of publishing in top-tier conferences like CVPR and NeurIPS.
  • Experience leading research and mentoring teams.

Responsibilities

  • Lead research on audio-visual generation for avatars in conversational contexts.
  • Design models integrating conversation flow with verbal and non-verbal cues.
  • Drive innovation in diffusion models and long-video generation.
  • Translate research findings into production-ready solutions with engineering teams.
  • Mentor junior researchers, establish research priorities, and publish significant findings.

Benefits

  • Role within a pioneering research lab focused on AI Humans.
  • Opportunity to shape the future of human-AI interactions.
  • Collaborate with a network of world-class investors and teams.
  • Access to cutting-edge research in generative models and AI technology.
  • Hybrid work environment with flexibility for remote work.
Full Job Description
The Role

We're hiring a Senior AI Researcher to lead research in audio-visual avatar generation. This role is for someone who thrives in ambiguity, has a track record of pushing generative models to new frontiers, and wants to define what human-AI interaction looks like in practice.

Your Mission
  • 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.
You'll Bring:
  • A 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.
Location:

Preferred: San Francisco (hybrid) or London.

Remote within U.S. or Europe considered for exceptional candidates.

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