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This listing was closed on Aug 16, 2026.
Browse Open JobsConversational Modelling Research Engineer
Summary by AIEngineer.careers
Conversational Modelling Research Engineer is a AI Research Engineer role (full-time). with Tavus. in REMOTE, WORLDWIDE. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Tavus is a research lab building AI Humans with real-time conversational avatars. They are hiring a research engineer to push the boundaries of foundation multimodal conversational models, focusing on fine-tuning, adaptation, and low-latency avatar behavior. The role involves conducting research, partnering with the applied ML team, and staying ahead of cutting-edge advancements.
Responsibilities
- Conduct research on Large Multimodal Models for Conversational Avatars (e.g., Neural Avatars, Talking-Heads).
- Develop methods to model verbal and non-verbal aspects of conversation, adapting avatar behavior in real time with low latency.
- Experiment with fine-tuning, adaptation, and conditioning techniques for AudioVisual Multimodal Models.
- Partner with the Applied ML team to take research from prototype to production.
- Stay up to date with cutting-edge advancements and help define future directions.
Requirements
- 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.
- Experience in fine-tuning/adapting VLMs for control, conditioning, or downstream tasks.
Tavus
San Francisco · US · 103+ employees
Tavus is a human computing company and AI research lab that develops foundational AI models designed to create 'AI humans' or digital twins capable of seeing, hearing, and responding in real-time. The company's technology is used to facilitate face-to-face AI interactions in sectors such as personal assistance, healthcare, and professional communications.
