Data Engineer
Hybrid (Remote)Full-timePosted 6mo ago
About the role
Senior Data Engineer role at Tavus, a Series B AI company building the human layer of AI. Responsible for end-to-end data strategy to power multimodal AI models and real-time experiences, including sourcing, structuring, scaling, and optimizing data pipelines and labeling workflows.
Responsibilities
- 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
Qualifications
- 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
Skills
Required:PythonSQLLarge-scale data processingMultimodal datasets (text, video, images)
Nice to have:Data labeling & automation workflows
Benefits
- Flexible work schedule
- unlimited PTO
- competitive healthcare and gear stipends
- collaborative team culture
Last updated Sep 2, 2026. Interested? Apply on the company site.
About Tavus
Meet the PALs
Tavus introduces PALs: AI humans that remember, empathize, and grow with you. They move fluidly between chat, voice, and video, making AI finally feel human.
AIVideoConversational AIMultimodalAPIsResearch
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