How Instacart Uses Embeddings to Improve Search Relevance

Tech & Innovation

How Instacart Uses Embeddings to Improve Search Relevance

Authors: Xiao Xiao , Taesik Na , Tejaswi Tenneti , Guanghua Shu As a fast-growing e-commerce platform and the leading grocery technology company, Instacart has an ever-expanding catalog of over 1 billion products from 900+...

Sep 15, 2022

Read time: 12 min

Engineering Blog

Tech & Innovation

Lessons Learned: The Journey to Real-Time Machine Learning at Instacart

Authors: Guanghua Shu and Sahil Khanna Instacart incorporates machine learning extensively to improve the quality of experience for all actors in our “four-sided marketplace” — customers who place orders on Instacart apps to get deliveries...

Sep 7, 2022

Read time: 12 min

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Tech & Innovation

Griffin: How Instacart’s ML Platform Tripled ML Applications in a year

Instacart’s hyper-growth entails increasing machine learning applications and requires fast iterations of machine learning workflows. To meet these requirements, we built Griffin, an extensible platform that supports diverse data management systems, integrates with multiple machine...

Jun 22, 2022

Read time: 9 min

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Tech & Innovation

Tooling to Find More Items, More Quickly

How Instacart’s Fulfillment Technology group is working to make picking all of the items on your list as painless as possible Authors: Benjamin S. Knight & Jason Cromer Introduction Is that wedge of Wisconsin sharp...

May 25, 2022

Read time: 4 min