You will own the multimodal data strategy end-to-end, sourcing and structuring video, audio, and text data at scale. Sitting at the intersection of data engineering and ML research, you’ll build high-performance pipelines for foundation models. This role is crucial for scaling Tavus’s CVI platform and enhancing real-time human-AI interaction.
Data Engineer at Tavus
Tavus is seeking Data Engineers to build the multimodal backbone for real-time AI Humans. You will own the strategy for sourcing and structuring massive video and audio datasets, working directly with our research team to push the boundaries of conversational AI. If you're an expert in video data pipelines and large-scale processing with Spark or Ray, join us in creating the future of human-AI interaction.
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Location
Remote
Compensation
Not Disclosed + Equity
Company
Tavus
Role overview
Tavus is a $64M total funded AI research lab, recently raising a $40M Series B backed by Sequoia and CRV, building real-time multimodal AI Humans that see, hear, and respond with human-like presence.
What you will do
- Build and maintain scalable data pipelines to ingest, process, and curate massive datasets of video, audio, and text.
- Design and implement complex labeling and annotation workflows in collaboration with the research team to ensure high-quality training data.
- Optimize data infrastructure using Spark or Ray to handle the unique challenges of multimodal, large-scale video data processing.
Who this is a fit for
- Proven experience building data pipelines specifically for multimodal data, with a deep focus on processing and structuring video content.
- Strong proficiency in Python and SQL, alongside hands-on expertise with large-scale data processing frameworks like Spark or Ray.
- An ML-first mindset with the ability to build data systems from scratch in a fast-paced, research-oriented startup environment.
Why this role is remarkable
- Work on the frontier of multimodal AI, building the data backbone for foundational models like Phoenix-4 and Raven-1 that power real-time AI Humans.
- Join a heavily backed Series B startup with $64M in funding from elite investors like Sequoia, CRV, and Y Combinator during a high-growth phase.
- High-impact ownership where your work directly shapes model training outcomes and helps achieve sub-second latency for conversational video interfaces.
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