AI Researcher (Voice)

San Francisco, California, United States

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$160,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Human Computing, AI & Machine LearningIndustries

Requirements

Candidates must have proven experience with flow matching, diffusion models, and auto-regressive networks in the audio domain. They should also have experience training deep learning models, building streaming text-to-speech or speech-to-speech models, and possess strong foundations in audio modeling with a demonstrated ability to innovate rapidly through prototyping. Required skills include knowledge of state-of-the-art architectures in representation learning (audio or image domain, face animation), excellent programming skills, fluency in PyTorch, and evidence of original research with publications in top-tier or solid second-tier venues. A PhD or equivalent experience is preferred, as are skills in 3D graphics, Gaussian splatting, experience with generative models, and experience leading research teams. A background in software development best practices is also beneficial.

Responsibilities

The AI Researcher will lead research efforts on generative video and audio models, including text-to-speech, speech-to-speech, and audio-to-expression topics. They will collaborate with the Applied ML team to productionize research findings and stay current with, as well as contribute to, the latest advancements in the field. The role involves working with cutting-edge AI technologies to develop lifelike, expressive avatars for real-time applications.

Skills

generative video models

generative audio models

text-to-speech

speech-to-speech

audio-to-expression

multimodal AI

flow matching

diffusion models

auto regressive networks

deep learning models

large model training

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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