About the Role
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Overview
The ML Data Engineering team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high-quality metadata to enable content discovery and trust for millions of users worldwide. We build at scale with machine learning, data engineering, and distributed systems, collaborating with applied research and product teams to deploy scalable ML and LLM-powered solutions in production.
About The Company
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. We aim to democratize the exchange of ideas and information, empowering collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We value a culture where employees can be real and bold, debate and commit, and take action with the customer in...
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