Machine Learning

Optimizing at the Edge: Using Regression Discontinuity Designs to Power Decision-Making

One model to serve them all

How Instacart deployed a single Deep Learning pCTR model for multiple surfaces with improved operations and…

Unveiling the Core of Instacart’s Griffin 2.0: A Deep Dive into the Machine Learning Training Platform

Introducing Griffin 2.0: Instacart’s Next-Gen ML Platform

Instacart’s Item Availability Architecture: Solving for scale and consistency.

Instacart’s Item…

How Instacart Modernized the Prediction of Real Time Availability for Hundreds of Millions of Items While Saving…

How Instacart’s item availability evolved over the pandemic

Distributed Machine Learning at Instacart

How Instacart uses distributed Machine Learning to…

Calibrating CTR Prediction with Transfer Learning in Instacart Ads