Wayfair Tech Blog

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Engineering Bootcamp Graduates Series: Entering the Corporate World

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.

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Wayfair DS Explains It All: Esra Cansizoglu on Object Pose Estimation

This week in Wayfair Data Science’s explainer series, we’re discussing object pose estimation, an important problem in robotics and augmented reality (AR) applications. In robotics, when given a 3D model of an object a mobile robot must be able to localize it in space in order to manipulate it. This localization process is also central to our AR work at Wayfair. On the Wayfair app, you can explore how our products look in your room using AR. The ability to estimate the pose of the selected item while you are moving your smartphone around your room is essential to providing the best AR experience. In this video, Wayfair data science manager Esra Cansizoglu explains how we solve this problem using perspective-n-point algorithm in a RANSAC framework.

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How We Detect Anomalies in Our Product Recommendations Metrics

Introduction

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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.

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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.

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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.

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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.