Redefining Robotic Intelligence. Backed by Khosla.
About the role
Design and implement scalable curation pipelines for web-scale video pretraining data: ingestion, deduplication, quality filtering, and content classification across internet-scale video corpora Develop video-specific annotation frameworks and quality filters — motion quality, scene diversity, action content, temporal coherence — to improve pretraining signal
What they're looking for
- Strong understanding of data-centric ML and how web video data quality affects large generative model performance
- Experience building large-scale video data pipelines: ingestion, filtering, deduplication, and quality scoring
- Familiarity with video-specific data characteristics: temporal structure, motion quality, scene diversity, and action content
- Solid ML fundamentals with hands-on experience training or evaluating large generative models
- Ability to design evaluations for video generation models that are diagnostic, reproducible, and actionable
- Staff-level candidates are expected to define technical direction and drive research strategy independently, senior/MTS candidates execute complex projects with strong fundamentals and growing scope
More about this role
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
We're looking for Research Scientists and Research Engineers to build the data and evaluation foundations for our video action model. This team owns web-scale video data curation, annotation pipelines, and evaluation methodology — directly determining the quality of the video pretraining distribution and how clearly we can measure model progress. We hire across levels — from MTS-Staff
Design and implement scalable curation pipelines for web-scale video pretraining data: ingestion, deduplication, quality filtering, and content classification across...
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