Where We Call Home
Matt Cabral is no stranger to transitions. After nearly eight years of service in the United States Army, he transitioned from his position as Captain to enter civilian life and faced a pivotal moment shared by many of his fellow veterans: how to translate the experiences and invaluable skills he gained during his time in service to a new kind of workforce. To help make that transition, he turned to Hiring Our Heroes.
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University to the Workplace: One International Student's Journey to Finding the Right Career at Wayfair
This article is part of our "Employee Spotlight" series where we speak to and highlight some of the wonderful people who make up the Wayfair team.
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From RGB to Descriptive Color Names: Wayfair's in-house color algorithms to improve customer shopping experience.
When a Wayfair customer shops for a product that is just right for her home, color plays a big role. For example, a customer might say, “I am looking for a green chair.” Or she might say, “I am looking for a teal chair.” There may be various versions of these customer color search stories. As data scientists at Wayfair, we want to solve these customer problems by algorithmically extracting the color information from the products and assigning customer-friendly color names.
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In this blog post, you’ll get an inside look at our Wayfair CastleGate Logistics team which develops and designs the technology that enables us to get over 22 million products from the manufacturer to our customers’ homes. This will be the first in a series of posts focused on our Logistics Tech team, providing an insight into our challenges, what drives/motivates us, and how we work at Wayfair! Follow along to learn more about what it’s like to work at Wayfair!
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When you think "Kubernetes," the first word that comes to mind probably isn't "frontend." Here at Wayfair our frontend infrastructure is heavily integrated with Kubernetes, including a toolkit that generates frontend apps with Kubernetes integration out of the box.
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Each summer, Wayfair welcomes dozens of interns to teams ranging from Engineering to Talent Management. These undergraduate, MBA, and high school students are immersed in a 10-week program that aligns them with challenging and real projects to push them further on their way to advancing their careers. With the opportunity to grow and collaborate with leaders across the company, Wayfair’s interns work collaboratively on all facets of the business to gain the experience and knowledge needed to reach their professional goals.
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If you are among the tens of millions of customers who have shopped at Wayfair, you have experienced one of the many technologies built by the Machine Learning and Data Platforms team. We serve the business, engineering and data science teams across Wayfair, who are working on solving one of the most intriguing and gratifying challenges — helping our customers make their dream home a reality.
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This article is part of our series "Employee Spotlight," where we speak to and highlight some of the wonderful people who make up the exceptional teams at Wayfair.
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How data scientists at Wayfair build scalable ML systems to programmatically optimize marketing decisions.
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