AI Researcher (Rendering)

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, Computer Vision, Healthcare, Recruiting, Sales, EducationIndustries

Requirements

Candidates should have a PhD or 2-3 years of practical experience applying diffusion models, with strong foundations in generative modeling, particularly image or video synthesis. Deep experience with diffusion models like DDPMs and LDMs, fluency in PyTorch, and comfort with GPU-based inference are essential. Evidence of original research through publications in top-tier or solid second-tier venues is required, along with enthusiasm for building lifelike avatars. Preferred qualifications include skills in 3D graphics, Gaussian splatting, large-scale training setups, experience leading research teams, and knowledge of software development best practices.

Responsibilities

The AI Researcher will lead research efforts on generative video models, including Neural Avatars, Talking-Heads, and Lip-sync technologies, as well as other low-level computer vision 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.

Skills

Generative Video Models

Neural Avatar

Talking-Head

Lip-sync

Computer Vision

Diffusion Models

Image Synthesis

Video Synthesis

Prototyping

AI Research

Machine Learning

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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