Tavus

Engineering, Product, & Design

AIResearcher(MultimodalAudio/VideoGeneration)

San Francisco, California, United States; London, United Kingdom; United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“AI Researcher (Multimodal Audio/Video Generation) at Tavus. Skills: Audio-visual generation, Diffusion models, Long-video generation, Audio-visual modeling. 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”

What You'll Achieve.

Publish impactful work

Industry & Context.

Engineering, Product, & Design

What They're Looking For.

Must Have

PhD or equivalent research experience, 2–3+ years of hands-on experience applying generative models at scale, Expertise in diffusion models, 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 Have

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

What You'll Do.

Lead research efforts on audio-visual generation for avatars (Neural Avatars

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

set research directions

and publish impactful work

How You'll Work.

Team & Collaboration

Partnering with Applied ML and engineering

Full Job Description

ABOUT US Tavus https://www.tavus.io/ is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms. Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale. We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners. Be part of shaping a future where humans and machines truly understand each other. 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. - Experti

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