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Tavus

AI Researcher (Multimodal Audio/Video Generation)

  • Seen live on Tavus' site today
  • Mid level
Pay
Not stated
Location
San Francisco
Open for
12+ days
First seen
Oct 23, 2026
Apply on Tavus' site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Tavus' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Tavus, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

3+ years of experience
“A PhD or equivalent research experience, plus 2–3+ years of hands-on experience applying generative models at scale.” (quoted from the posting)
PhD asked for
“A PhD or equivalent research experience, plus 2–3+ years of hands-on experience applying generative models at scale.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Us

Tavus 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.
  • 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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