Skip to jobs
Unlisted
All jobs

Cantina · Research

Research Scientist, Real-Time Video Generation

Where
Europe
Experience
Not stated
Pay
Not stated
Posted
First seen by Unlisted 13 Oct, 18:10 UTC
Apply on AshbyApply opens the employer's own posting

Checking Ashby for this posting…

About Cantina

Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.

If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!

About the Role

We’re working on real-time video generation for interactive characters, spanning realistic humans, stylized characters, and non-human identities. We want these characters to feel present: to speak, react, and express themselves through their face, gestures, and body language.

This brings together a set of closely connected research problems. A character needs a consistent appearance, expressive and coherent motion, and a natural relationship between speech and movement. The model also needs to respond quickly and keep generating reliably as an interaction unfolds. Quality, controllability, and efficiency all matter.

You’ll work across streaming generation, fine-tuning, distillation, inference optimization, and data. Some problems will call for a new training approach; others will come down to better examples, a more useful evaluation, or understanding a bottleneck in the implementation. Part of the job is figuring out which intervention is worth making.

You’ll have substantial freedom to propose directions, investigate unfamiliar ideas, and shape what we work on next. We’re looking for someone who enjoys that freedom and can turn it into a steady sequence of useful experiments.

What You’ll Work On

What You’ll Bring

You’ll have freedom to explore new approaches. We expect fast iteration and early sharing of results.

Compensation

When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.

 

Benefits for U.S.-based roles: