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
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 25, 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
Building for Balance
How we developed a unified marketplace balancing engine with machine learning and optimization. Written by Trace Levinson, Senior Machine Learning Engineer. The Instacart Marketplace team is deeply focused on producing both timely, high-quality deliveries for…
Jan 12, 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…
Nov 1, 2021
How It's Made
Designing Digital Experiences That Augment the Analog World
Shoppers are the backbone of Instacart’s business. Every day, we’re energized by being able to help them serve customers more effectively and support their learning and development to build a long-term relationship. In their offline…
Mar 16, 2021
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…
Mar 12, 2021