Conversational Modelling Research Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 145d ago
The date the source published, not the day we noticed it (2026-04-22). Last seen at its source 3h ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States, Europe
No source stated where this role may be worked. This is read from the ad's own words.
What the ad says
…Remote within the U.S. or Europe available for exceptional candidates…
Pay not stated
Similar roles pay $160k–225k/yr
Middle 50% of 2159 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 3h ago
- location not stated
The listing
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 friend who can discuss any topic with you. 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 B 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 an AI Researcher to join our core AI team and push the boundaries of Foundation Multimodal Conversational Models. If you thrive in fast-moving startup environments, enjoy experimenting with new ideas, and love seeing your work come to life in production then you’ll feel right at home.
Your Mission 🚀
Conduct research on Large Multimodal Models in the context of Conversational Avatars (e.g. Neural Avatars, Talking-Heads).
Develop methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behavior in real time, with low-latency.
Experiment with fine-tuning, adaptation, and conditioning techniques to make AudioVisual Multimodal Models, more expressive, controllable, and task-specific.
Partner with the Applied ML team to take research from prototype to production.
Stay up to date with cutting-edge advancements — and help define what comes next.
You’ll Be Great At This If You Have:
A PhD (or near completion) in a relevant field, or equivalent research experience.
Hands-on experience with Large Multimodal Models and a strong foundation in generative (language) models. This could be in the context of tasks such as VQA, Audio/Video understanding tasks, captioning behavioral analysis, Translation tasks, Speech to Speech systems.
Experience in fine-tuning/adapting VLMs for control, conditioning, or downstream tasks.
Solid background in deep learning and foundation modes.
Strong PyTorch skills and comfort building deep learning pipelines.
Nice-to-Haves
Knowledge of large-scale model training and optimization.
Experience in duplex-conversational model.
Broader understanding of generative AI across modalities.
Exposure to software development best practices.
A flexible, experimental mindset i.e. comfortable working across research and engineering.
(Bonus) Publications at EMNLP, COLING, NeurIPS, ICLR, CVPR, ICCV.
Location
Preferred: San Francisco (hybrid) or London.
Remote within the U.S. or Europe available for exceptional candidates.