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Software Engineer (Backend, Python) - Content Understanding (Toronto)
Scribd
📍
toronto, Canada
Location
toronto
Posted
June 05, 2026
Commute
Local Area
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This job is in your area. Enjoy a short commute and work close to home.
Job Description
The ML Content Understanding Team
The ML Content Understanding team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents and billions of images to deliver high‑quality metadata that enables content discovery and trust for millions of users worldwide. Role Overview
We are seeking a Software Engineer II with strong backend development experience to design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content. The role involves working closely with ML engineers, product managers, and cross‑functional partners to integrate machine‑learning models and LLM‑based services into production pipelines and deliver high‑performance solutions at a global scale. Key Responsibilities
Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content. Leverage LLMs to integra...
The ML Content Understanding team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents and billions of images to deliver high‑quality metadata that enables content discovery and trust for millions of users worldwide. Role Overview
We are seeking a Software Engineer II with strong backend development experience to design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content. The role involves working closely with ML engineers, product managers, and cross‑functional partners to integrate machine‑learning models and LLM‑based services into production pipelines and deliver high‑performance solutions at a global scale. Key Responsibilities
Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content. Leverage LLMs to integra...