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Pinterest Engineering Inventive engineers building the first visual discovery engine, 300 billion ideas and counting.

202 posts
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Next Gen Data Processing at Massive Scale At Pinterest With Moka (Part 2 of 2)

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Developer Experience at Pinterest: The Journey to PinConsole

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Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes

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Next Gen Data Processing at Massive Scale At Pinterest With Moka (Part 1 of 2)

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Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines

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Unlocking Efficient Ad Retrieval: Offline Approximate Nearest Neighbors in Pinterest Ads

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Next-Level Personalization: How 16k+ Lifelong User Actions Supercharge Pinterest’s Recommendations

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Automated Migration and Scaling of Hadoop™ Clusters

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Adopting Docs-as-Code at Pinterest

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Healthier Personalization with Surveys

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Modernizing Home Feed Pre-Ranking Stage

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How Pinterest Accelerates ML Feature Iterations via Effective Backfill

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500X Scalability of Experiment Metric Computing with Unified Dynamic Framework

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Multi-gate-Mixture-of-Experts (MMoE) model architecture and knowledge distillation in Ads…

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Migrating 3.7 Million Lines of Flow Code to TypeScript

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Improving Pinterest Search Relevance Using Large Language Models

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How Pinterest Leverages Honeycomb to Enhance CI Observability and  Improve CI Build Stability

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Change Data Capture at Pinterest

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Resource Management with Apache YuniKorn™ for Apache Spark™ on AWS EKS at Pinterest

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Ray Batch Inference at Pinterest (Part 3)