AI Researcher (Perception)

Sorry, this job was removed at 06:19 a.m. (CST) on Tuesday, Oct 21, 2025
3 Locations
In-Office or Remote
160K-250K Annually
Artificial Intelligence • Software
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 looking for a Senior Researcher to join our core AI team. Our ideal partner-in-crime works well in startup environments, is comfortable prioritizing for themselves, and is always down to take calculated risks. We’re moving fast and not looking for people to come along for the ride - we’re looking for people to pave the path.


Your Mission
 🚀
  • Lead research efforts on generative video models (ex: Neural Avatar, Talking-Head, Lip-sync, and other low level computer vision topics)

  • Work with the Applied ML team to help productionize our research

  • Stay relevant with the latest advancements (and help us create the latest advancements!)

Requirements
  • Hands-on experience with Visual and/or Audio-visual Analysis of Human Behaviour (e.g., affect, expressions, reactions), preferably in conversational, naturalistic settings

  • Strong background in Deep Learning, including foundation models and methods

  • Experience building models for real-time analysis and generation with time
    budget constraints

  • Excellent programming skills, including building deep learning models in Pytorch

  • Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ECCV, or
    ACMMM

  • Flexible mindset, including willingness to work on both research and engineering
    tasks end-to-end.

Additionally, having some of the following experiences may help you be successful in this position:

  • Exposure to or expertise in large model training, including LLMs and VLMs

  • Broader knowledge of generative AI models

  • Strong foundational understanding of deep learning methodologies that
    generalize across domains

  • Ability to contribute to both the research and engineering sides of the stack

  • PhD or equivalent experience preferred

  • Experience leading research teams

  • Familiarity with best practices in Software Development

Please note that this position is preferably hybrid in San Francisco and we offer relocation. However we are open to remote candidates as well. 

Benefits & Culture

When you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.

To learn more about our team culture and benefits, check out our hiring page.

Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.

We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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The Company
HQ: San Francisco, CA
17 Employees
Year Founded: 2020

What We Do

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