Hybrid AI Researcher – Large Language Models

at Tavus

• Job title: AI Researcher – Large Language Models
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: PyTorch
• Location requirements: Hybrid, San Francisco, United States

About the role

• AI Researcher at Tavus advancing large language modeling for Conversational Avatars. Conducting cutting-edge research to bridge human and machine interactions with advanced AI technology.

Responsibilities

• Conduct research on large language modeling and adaptation for 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.
• Experiment with fine-tuning, adaptation, and conditioning techniques to make LLMs 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.

Requirements

• A PhD (or near completion) in a relevant field, or equivalent research experience.
• Hands-on experience with LLMs or VLMs and a strong foundation in generative language models.
• Experience in fine-tuning/adapting LLMs for control, conditioning, or downstream tasks.
• Solid background in deep learning and familiarity with foundation model methods.
• Strong PyTorch skills and comfort building deep learning pipelines.

Benefits

• Remote within the U.S. or Europe available for exceptional candidates.