Senior Data Engineer

San Francisco, California, United States

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Not SpecifiedCompensation

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Not SpecifiedVisa

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Requirements

Candidates should have experience building data pipelines from scratch and possess extreme ownership over data strategy. A strategic mindset for anticipating data needs and shaping AI development is essential. Previous work with LLMs and multimodal data, including sourcing, structuring, and optimizing data for AI impact, is a significant advantage. Expertise in automating data cleaning, structuring, and labeling workflows is also required.

Responsibilities

The Senior Data Engineer will own the entire data strategy, from sourcing and curating to structuring and optimizing data for AI models. This includes managing large-scale data procurement, building and scaling data pipelines across various modalities, and finding unconventional data sources. The role involves crafting video and audio datasets for AI success, optimizing the data labeling process through automation, and transforming internal platform data into actionable insights. Collaboration with ML engineers to optimize datasets for AI model performance and efficiency is also a key responsibility.

Skills

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