Wayfair Tech Blog

Performance Monitoring Best Practices: Wayfair at InfluxDays NYC

At the recent InfluxDays NYC 2019, Senior Engineer Richard Laskey shared some of our monitoring best practices using InfluxEnterprise. These efforts are critical and help improve the user experience on Wayfair by driving forward site-wide improvements, establishing best practices, and pushing positive change through many different teams.

Wayfair Tech Blog

Wayfair DS Explains It All: Tim Zhang on Training Image Synthesis

This week in Wayfair Data Science’s explainer series, Senior Machine Learning Engineer Tim Zhang lays out what you need to know about training image synthesis. Training image synthesis is a fairly young project for the Computer Vision team at Wayfair. We have explored a few different use cases that can take advantage of this approach, such as search-with-photo, image-based 3D geometry generation, and camera perspective estimation. Looking forward, we are aiming at faster rendering speed and more intelligent domain randomization.

Wayfair Tech Blog

Engineering Bootcamp Graduates Series: Working on My Biggest Codebase Yet

Becoming a software engineer isn’t always straightforward or the same for each person; careers in the industry can start at any point in your working life, backed by a variety of studied disciplines or work experience. We know that good software engineers don’t always take the traditional path into development, which is why we’ve created Wayfair Labs.

Wayfair Tech Blog

Wayfair DS Explains It All: Archi Mitra on Human-in-the-loop Systems

In this installment, Archi Mitra (Senior Machine Learning Engineer on the Computer Vision team) lays out an intro to Human-in-the-loop systems, which are used in every Computer Vision project here at Wayfair. Our Visual Search, Object Detection, Room & Style algorithm leverages this system to annotate training data and validate results. Media metadata tagging uses this system to improve tagging efficiency and build one of a kind integrated AI model development platform.

Wayfair Tech Blog

Wayfair DS Explains It All: Tim O'Connor on Experimentation

This week in Wayfair Data Science’s explainer series, Tim O’Connor discusses experimentation in the context of data science. Experiments are crucial to data science, helping to determine which version of a model is to use in future iterations of a system or generating new sources of data unavailable in a company’s historical data. As such, designing and conducting experiments is a core capability for data scientists at Wayfair. In this video, Tim explains the basics behind A/B tests and synthetic controls, and discusses how they are used to tackle various questions at the company.

Wayfair Tech Blog

Engineering Bootcamp Graduates Series: From Wayfair Labs and Beyond

Becoming a software engineer isn’t always straightforward or the same for each person; careers in the industry can start at any point in your working life, backed by a variety of studied disciplines or work experience. We know that good software engineers don’t always take the traditional path into development, which is why we’ve created Wayfair Labs.

Wayfair Tech Blog

Wayfair DS Explains It All: Afshaan Mazagonwalla on Bayesian Machine Learning

Welcome back to Wayfair Data Science's Explainer Series! This week, Afshaan Mazagonwalla will be speaking about Bayesian Machine Learning

Wayfair Tech Blog

Wayfair Data Science Launches New Video Explainer Series!

Find out about how Wayfair tackles product recommendations in our first installment!

Wayfair Tech Blog

Our Self-Service Hybrid Performance Engineering Platform

At Wayfair, we pride ourselves on our speedy response times to issues during heavy web traffic to ensure a smooth customer experience. As we scale and continue adding products to our catalog, it is imperative that our backend infrastructure is able to handle increased traffic, especially during retail peaks and promotional sales.