Wayfair Tech Blog

Wayfair releases WANDS, the largest and richest publicly available dataset for e-commerce product search relevance

Search relevance – the relationship between users’ queries and the products returned in search results – is one of the most important performance indicators for ecommerce storefronts. However, the sheer volume of the data makes evaluating and improving search relevance a difficult proposition. To give just one example, the Wayfair catalog has millions of products, which makes it difficult to create relevance-focused evaluation datasets manually.

CI/CD and Scheduling pipeline for Vertex AI

Wayfair Tech Blog

How Wayfair is reaching MLOps excellence with Vertex AI

Dive into the ways Wayfair’s data scientists are using Vertex AI to improve model productionization, serving, and operational readiness velocity.

Wayfair Tech Blog

How Wayfair uses “Predicted Winners” Models to Accelerate Success for New Products

Wayfair works with over 25,000 suppliers to sell more than 30 million products in a variety of styles from classic to contemporary at compelling price points. In order to create a frictionless shopping experience, we need to enable customers to explore our massive catalog efficiently, and find the right products that help them create their unique sense of home.

Wayfair Tech Blog

Creating a GCP Native Single Purpose Database Decision Guide

OverviewAs Wayfair technology teams begin their replatforming journeys, more engineers will make decisions for their single purpose database. Choosing the right database technology is one of the most important decisions you can make when building a new microservice. If you realize down the line that you have made the wrong choice, migrating to another database can be a costly and risky procedure. We committed to Google as our cloud platform provider, and they offer multiple robust database options. Learning enough about all of them to make an informed decision can be a steep hill to climb; therefore, we set out to streamline this process, and provide our teams with a guide to help make these decisions.

a flow diagram shows how we use first heuristics, then a neural network to separate positive labels from negative labels

Wayfair Tech Blog

Hamlet: Wayfair's ML Approach to Identifying Business Shoppers

To B2B, or not B2B, that is the question.

Wayfair Tech Blog

Design Infrastructure Engineering at Wayfair

A closer look at engineering’s role in Wayfair’s design system, Homebase

Wayfair Tech Blog

What my Nephew Taught me About my Career as a Technologist

Last October, at the Lesbians Who Tech in San Francisco, I had the opportunity to speak to a packed house about navigating a career in technology. Whether you’re an aspiring technologist or a seasoned veteran, career navigation is essential in this sector, where unprecedented evolutions and disruptive shifts in innovation require us to plot our course carefully. This is especially the case in the areas of software and algorithms.

A screenshot of the Wayfair Search Page displaying a search for "hunter green table". Search results show rugs, chair cushions, and tables

Wayfair Tech Blog

How Wayfair’s Scientists Collaborated with Innovative Startup ThirdAI to Serve Hyper-Relevant Search Results to Customers

Wayfair has tens of millions of products that serve the needs of over 33 million customers. Each of our customers have nuanced preferences as they buy products to help them create their own unique sense of home. Our search and recommender systems play an important role in helping customers find these products as quickly and conveniently as possible.

Wayfair Tech Blog

A Senior Economist at Wayfair Provides Three Tips for PhD Students to Land a Highly Selective Internship at the Company

According to Colin Gray, a growing number of economists are being drawn to the prospect of carrying out interesting work at technology companies like Wayfair.