Meet Michael What is your current role? I am currently a Senior Engineer on the Machine Learning Platforms team What does your team do? How does it fit into the world of Wayfair? Data science and machine learning are incredibly complex domains which require expertise in the fields of mathematics,…
1. Introduction In the last century, scholars across a variety of fields have explored the mathematics of decision-making, or learning to intervene within a system. A challenge that relies on decision-making is fundamentally different, and more complex, than a classification problem. For example, designing a machine to distinguish a photo…
Introduction Creating a recommendation system for home decoration poses unique challenges: each customer has his/her own taste and would like to maintain a cohesive personal style across his/her home. We at Wayfair know that it is hard to describe that taste in words and then to search through huge product……
Meet Sarah What is your current role? Currently I am a Senior Software Engineer for the Storefront Physical Stores team What does your team do? How does it fit into the world of Wayfair? The Storefront Physical Stores team creates and maintains all of the software that runs our physical…
Part I: How to build tools that you can hand off to data scientists [feature of Hoover tool] Summary Business moves fast and data science runways are long. What can we do to remove friction and iterate on data science models as quickly as possible? In this two-part blog……
Meet John What is your current role? My official titles are Senior Android Engineer and Engineering Manager of Design Services. My roles include: Design Services Android Tech Lead Services Android Architect Android Super League Lead Android Tech Talk Organizer Kotlin Conversion Captain App Performance Captain What does your team do?…
Wayfair has a huge catalog with over 14 million items. Our site features a diverse array of products for people’s homes, with product categories ranging from “appliances” to “décor and pillows” to “outdoor storage sheds.” Some of these categories include hundreds of thousands of products; this broad offering ensures that……
Introduction At Wayfair, we have typically discussed scalability from an infrastructure perspective—for example, when considering how many servers to provision for an upcoming holiday season, our usual response has been to calculate based on customer volume projections from the marketing team. However, while this source of data is no doubt…
Tests are an invaluable tool for me and my team, I consider them to be a key piece of my engineering toolbelt that I’ve built up over the years. At Wayfair, teams use tests to maintain code quality, as a test-driven development tool, and as a way to self-document new…
Introduction The main objective of our recommender systems is to narrow down Wayfair’s vast catalogue to assist customers in finding exactly the products they want. Most recommendation algorithms leverage a customer’s browsing history, which includes various types of interactions with products, such as clicks, add-to-cart actions, and orders. The diversity……
Wayfair has its traditions when it comes to business: It’s rooted in e-commerce through and through. Having been at Wayfair for more than three years with our iOS team, I was able to be part of many stages of growth and expansion, right up to my most recent challenge: Building…
