How It's Made
How It's Made
Introducing Griffin 2.0: Instacart’s Next-Gen ML Platform
Authors: Rajpal Paryani, Han Li, Sahil Khanna, Walter Tuholski Background Griffin is Instacart’s Machine Learning (ML) platform, designed to enhance and standardize the process of developing and deploying ML applications. It significantly accelerated ML adoption at Instacart by tripling the number of ML applications within a year. In our earlier post, we explained how a combination of MLOps tools allowed us to manage features efficiently, train models, evaluate performance, and…
Nov 22, 2023
How It's Made
How Hundreds of Retailers Use the Instacart Partner Platform to Drive In-Store Efficiencies
Authors: Benjamin S. Knight & Bryan Rusk One of our core missions at Instacart is to enable our retailer partners. When we succeed at deriving efficient delivery routes, accurately predicting the time it takes to…
Aug 17, 2022
Taste of Instacart
Building a Data-Driven company with Anahita Tafvizi, Instacart’s Vice President and Head of Data Science
Anahita Tafvizi joined Instacart in early 2021 and today, she leads the Data Science team which has more than doubled in size during her tenure. Our Data Science team is charged with identifying and informing…
Jul 26, 2022
How It's Made
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
Taste of Instacart
Data Engineering and Infrastructure at Instacart with Engineering Manager Abhi Kalakuntla
“It sounds cliché, but data drives Instacart’s entire business—our logistics and shopping processes, as well as our ordering experience, are all based on data,” explains Abhi Kalakuntla, Engineering Manager on Instacart’s growing Data Infrastructure team…
May 26, 2022
How It's Made
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 cheddar…
May 25, 2022
How It's Made
Your Fully Personalized Grocery Store: How Ads can improve your online shopping experience
Written by Girija Narlikar, Engineering Director, Ads Quality Imagine your favorite neighborhood grocery store, except that it’s arranged especially for you on every visit. Instacart’s ads platform is powering a marketplace filled with digital stores…
Feb 2, 2022
How It's Made
Catalog Localization: more than just a translation!
You moved to Quebec and started to learn French and use it in your daily life, even in every app you use. You even changed the language on your phone! How excited you must have…
Jan 11, 2022
How It's Made
7 steps to get started with large-scale labeling
How Instacart built a crowdsourced data labeling process (and how you can too!) Organizations that develop technologies rooted in information retrieval, machine learning, recommender systems, and natural language processing depend on labels for modeling and…
Sep 22, 2021
How It's Made
Building an on-demand fulfillment engine is hard
A Q&A with Kevin Henrikson & JJ Zhuang, our VPs of Fulfillment EngineeringKevin Henrikson and JJ Zhuang go together like PB&J — they’re the engineering “odd couple” that leads Instacart’s fulfillment engineering organization. Before they joined us…
Aug 18, 2021