AI Researcher (Multimodal Audio/Video Generation) at Tavus

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

PhD (or near completion) in a relevant field, or equivalent hands-on research experience
Experience applying image/video generation models in practice
Strong foundations in generative modeling and rapid prototyping
Deep familiarity with diffusion models, including recent advances in efficiency
Good understanding of video-language models and multimodal generation
Proficiency in PyTorch and GPU-based inference

Responsibilities

Research and develop audio-visual generation models for conversational agents (e.g., Neural Avatars, Talking-Heads)
Focus on models that are tightly coupled with conversation flow, ensuring verbal and non-verbal signals work seamlessly together
Experiment with diffusion models (DDPMs, LDMs, etc.), long-video generation, and audio generation
Collaborate with the Applied ML team to bring research into real-world production
Stay ahead of the latest advancements in multimodal generation — and help shape the next wave

Skills

Key technologies and capabilities for this role

Diffusion ModelsDDPMLDMAudio GenerationVideo GenerationMultimodal GenerationNeural AvatarsTalking HeadsGenerative Models

Questions & Answers

Common questions about this position

What is the location or work arrangement for this role?

The preferred locations are San Francisco (hybrid) or London (office opening soon), with remote work available within the U.S. or Europe for exceptional candidates.

What are the required qualifications for the AI Researcher position?

Candidates need a PhD (or near completion) in a relevant field or equivalent experience, experience applying image/video generation models, strong foundations in generative modeling and rapid prototyping, deep familiarity with diffusion models, good understanding of video-language and multimodal generation, and proficiency in PyTorch and GPU-based inference.

What salary or compensation does this role offer?

This information is not specified in the job description.

What is the company culture like at Tavus?

Tavus is a high-speed startup environment where researchers thrive by experimenting with generative models and seeing their work ship into production, as part of a core AI team pioneering human computing.

What makes a candidate stand out for this AI Researcher role?

Exceptional candidates may qualify for remote work, and nice-to-haves like experience in long-video or audio generation, 3D graphics skills, publications in top venues, and software engineering best practices strengthen applications.

Tavus

AI-driven video personalization platform for marketing

About Tavus

Tavus offers a video personalization platform that uses artificial intelligence to create customized videos for each customer. The platform takes a single recorded video and generates numerous versions, each tailored with unique voice variables to enhance customer loyalty and encourage repeat purchases. It caters to businesses of all sizes, recognizing the growing need for personalized content in digital marketing. Tavus stands out by enabling the auto-generation of hundreds or even millions of personalized videos, allowing businesses to scale their marketing efforts while maintaining quality interactions. The company likely operates on a subscription or usage-based pricing model, providing various plans to suit different needs. The main goal of Tavus is to help businesses build personal connections with their audience at scale, allowing them to focus on creativity and strategic initiatives.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$23.4MTotal Funding

SERIES_ACompany Stage

Consumer Software, AI & Machine LearningIndustries

11-50Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Flexible Work Hours

Risks

Emerging competition from AI video startups could dilute Tavus's market share.

Ethical concerns over deepfake capabilities may impact Tavus's operations.

Data privacy demands challenge Tavus's handling of sensitive customer information.

Differentiation

Tavus offers the world's fastest digital twin solution for real-time video conversations.

Their platform auto-generates millions of personalized videos from a single recording.

Tavus's AI avatar models create immersive digital experiences akin to face-to-face interactions.

Upsides

Tavus raised $18 million in Series A funding, boosting their growth potential.

The platform supports asynchronous communication, aligning with business trends.

Growing demand for AI-driven video personalization enhances Tavus's market position.

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