Data Engineer /ML Ops

At Tavus, we're building the human layer of AI. Our mission is to make human-AI interaction as natural as face-to-face interaction, enabling the human touch where it has been previously unscalable. We achieve this through pioneering research in multi-modal AI models for human perception and understanding, combined with state-of-the-art human avatar rendering and communication models.

Our models power everything from text-to-video AI avatars to real-time conversational video experiences across industries like healthcare, recruiting, sales, education, and more. By enabling AI to see, hear, and communicate with human-like authenticity, we're creating the foundation for the next generation of AI employees, assistants, and companions.

We're a Series A company backed by top investors, including Sequoia, Y Combinator, and Scale VC.

Data is the foundation of everything we build. We’re looking for a Senior Data Engineer who goes beyond pipelines and cleaning datasets. You’ll own our entire data strategy, from sourcing and curating to structuring and optimizing, ensuring our models and products are powered by the highest-quality data possible.

• Be a data visionary, anticipating future data needs

• Influence AI model training through high-quality data

• Own data end-to-end: sourcing, structuring, scaling

• Source and curate multimodal data (text, video, images)

• Master video data challenges for ML training

• Optimize labeling and automation workflows

• Unlock value from internal platform data

• Balance speed with precision

• Extreme ownership of data strategy

• Strategic, ML-first mindset

• Experience with LLMs and multimodal datasets

• Strong automation skills

• Strong Python, SQL, and large-scale data processing experience

• Ability to define best practices in new problem spaces