Senior Data Engineer

Responsibilities

• Own Tavus's entire data strategy from sourcing to optimization
• Source and curate multimodal datasets including text, video, and images
• Build and scale data pipelines that power AI model training
• Master video data challenges specific to ML training workflows
• Optimize labeling and automation workflows for efficiency
• Unlock value from internal platform data to drive product improvements
• Define best practices and standards in emerging data problem spaces

Requirements

• Extreme ownership mentality with end-to-end accountability for data systems
• ML-first mindset with experience supporting AI model development
• Hands-on experience with LLMs and multimodal datasets
• Strong automation skills and infrastructure-as-code practices
• Expert-level Python, SQL, and large-scale data processing
• Ability to operate in ambiguous problem spaces and establish new standards

About the Company

Tavus builds the human layer of AI, pioneering multi-modal models for human perception and state-of-the-art avatar rendering. Their technology powers text-to-video AI avatars and real-time conversational video experiences across healthcare, recruiting, sales, and education. Backed by Sequoia, Y Combinator, and Scale VC, Tavus is creating the foundation for the next generation of AI employees, assistants, and companions.