Tavus
AI Researcher (Multimodal Audio/Video Generation)
San Francisco · Mid
Sponsorship not specifiedDetected 154 days ago
Machine LearningPyTorchLLMsResearchMentoring
Stay score
odds of building a lasting career here
34Risky
Cap-exempt (no lottery)0
Sponsors this role68
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Translate research into production by partnering with Applied ML and engineering.
- Mentor researchers, set research directions, and publish impactful work.
- Expertise in diffusion models and awareness of the latest efficiency techniques.
Responsibilities
- 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.
Requirements
- Familiarity with software development best practices.
Nice to have
- A PhD or equivalent research experience, plus 2-3+ years of hands-on experience applying generative models at scale.
Skills
- Excellent programming skills - fluent in PyTorch and GPU-optimized workflows.
- Skills in 3D graphics, Gaussian splatting, or large-scale training setups.
Company info
- 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.
- 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 building AI Humans:
- a new interface that closes the gap between people and machines, free from the friction of today's systems.
This listing is sourced directly from Tavus's careers page and normalized into a canonical job model.