With data-driven product design and our purpose-built, modern end-to-end tech stack, we help shoppers navigate one of the world’s largest catalog of home goods and ensure seamless, dependable deliveries to their homes.

What We Do

Wayfair Next Creative Technologists

A Platform for All Things Home

Wayfair Next Creative Technologists
We are building the preeminent platform for home. We are neither solely a retailer nor solely a marketplace. Instead we take on the harder but more valuable challenge to combine the best of both. We are a platform.
Wayfair Next Twelve Week Hack

Massive, Global Scale

Wayfair Next Twelve Week Hack
Our 3,000+ engineers are building the technology that powers an experience for tens of millions of customers every day – and we’re just getting started.
Wayfair Next Applied R&D

A Nimble, Cutting-Edge Approach

Wayfair Next Applied R&D
We’re proliferating data science and machine learning across all of Wayfair, automating the end-to-end workflow for building, deploying, and maintaining models at scale.

Our Teams

Build Wayfair’s mobile software ecosystem to support our fastest-growing customer channel.
Build complex consumer-facing and back-end systems that support every element of our business.
Connect our data platforms to guarantee scalability, reliability, and speed.
Guide new ideas from concept to launch and collaborate with engineers and designers to maximize impact.
Identify security flaws, build protective infrastructure, and ensure data privacy as part of a diverse engineering team.
Build and maintain the cloud infrastructure and core production systems.
Manage and support the systems that every Wayfairian uses daily.
Build scalable models that drive our proprietary systems using machine learning, computer vision, and NLP.
Work with cross-functional partners to build thoughtful experiences for our customers, suppliers, and workforce.
Wayfair Next AR
Learn about the ins and outs of technology and engineering at Wayfair on our official technology blog.

Featured Roles

Changing Tech. Changing Home.


Founded by two engineers, we’ve embraced a culture where we learn from failure, take calculated risks, make smart iterations, and have limitless ambition – all of which have enabled us to pioneer new technologies and set industry standards that are rapidly redefining the way customers shop for their homes. Come join over 3,000 technologists reimagining the e-commerce experience and building homegrown, breakthrough technologies, transforming an industry from product discovery to final delivery.
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Fiona says...
“An unwavering customer focus and deep roots in building a strong culture of innovation has helped pave the way for Wayfair as the clear leader in home – and it’s just the beginning. I look forward to being part of an incredible team and building upon this strong momentum as we continuously raise the bar in creating the best possible shopping experience for home.”
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Joe says...
“Wayfair has given me the opportunity to not only grow as an employee but as a person. Day in and day out I’m able to take on complex challenges and goals with amazing people from all walks of life. Choosing Wayfair has really been a career-defining decision that I would make over and over again.”
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Liliana says...
“My perfect role involves working with great people on a challenging problem, and using the best technology for it. I’ve found all of it on the Wayfair Fraud team, and there is even more in the broader organization. Here, I won’t get bored any time soon.”

What’s New

November 24, 2021
As most everyone knows by now, Wayfair is a major e-commerce company focused on furniture and home goods. What you may not be aware of are the many technical elements happening behind the scenes to ensure that 22 million products are delivered to you on time. This is an area I’m familiar with as I work in Wayfair’s International Supply Chain Engineering (ISC) department. A relatively new group, our journey began with a significant realization—we needed to break our monolith into microservices. Specifically, we needed to manage authorization across all of our new microservices. The answer was the Oso authorization framework. For this blog, I’ll walk through the steps we took to make these changes. This includes how we initially broke apart our monorepo, the process of writing a proof of concept with Oso, and how we moved to production with the support and collaboration of Oso’s engineers.
6 Min Read
November 19, 2021
If you've searched on Google or Bing for an item to make your home just right for you, and came across an ad for Wayfair, then you've already experienced our Wayfair Ads Bidding Platform in action! This post dives into the details of why we built this platform, how it evolved, its core building blocks, and plans for future enhancements.
11 Min Read
November 16, 2021
Using module federation to implement micro frontends. Contributors: Ben Barnett, Diego Fiore, Verónica Machado, and Will Conover.
8 Min Read
November 11, 2021
How Wayfair optimizes content placement considering competing short term marketing and long term business goals
8 Min Read
November 11, 2021
Wayfair increased its Deploy Frequency - the rate at which we ship new functionality to customers - by 490% between January 2019 and June 2021.
6 Min Read
November 4, 2021
Technical Debt is a part of any software project, but it usually gets forgotten in the never-ending race to add new features. Learn how we created a Code Quality Score to surface Tech Debt as part of our Team Quality Metrics.
9 Min Read
November 4, 2021
The following blog outlines how the Database team at Wayfair took a principles based approach to transforming how our Engineers interact with and manage their database infrastructure; moving from a largely operational world to one that is characterized by choice and autonomy.
4 Min Read
October 29, 2021
Some experiments at Wayfair can last 60 days or more. To speed up learning in experiments while still optimizing for long term rewards, our team developed a data science platform called Demeter, that uses ML models to forecast longer term KPIs based on customer activity in the short term. In this post we provide an overview for Demeter and its theoretical foundation in causal inference
11 Min Read
October 28, 2021
October is National Cybersecurity Awareness month, and Wayfair believes security education and awareness is a critical component of our overall security program. This blog will outline how Wayfair’s Cybersecurity Awareness Program educates employees on how to act securely in the workplace and in their personal lives.
5 Min Read
October 14, 2021
How our microservice governance layer helped us survive a crazy data center outage
3 Min Read
October 11, 2021
Wayfair today announced that it has received a Google Cloud Retail Customer Award. This award was presented at the global digital experience, Google Cloud Next ’21, on October 12.
1 Min Read
October 7, 2021
We’ve designed and developed a scalable algorithmic decision-making platform called WayLift for paid media marketing. In this blog post, we will provide an overview of the theoretical foundation of WayLift — the contextual bandit algorithms for optimizing marketing decisions.
12 Min Read
October 1, 2021
We are all too familiar with the unpleasant experience of a native app crash. You’re happily playing your favorite game, queuing up the next video, researching the next piece of furniture to buy (hint: Wayfair may help!) when all of the sudden, POOF! The app is gone and you’re back to your phone’s home screen. Those who are less technically inclined might not even know that this was an app crash, or worse, they may think that somehow their actions were responsible for the un-magical disappearing act. Android is slightly more helpful: after a crash, the user is presented with a dialog that tells them that unfortunately, their favorite app has stopped. Unfortunate, indeed. But just how unfortunate? This post explores the return on investment for fixing crashes. Keep reading to learn what we learned.
9 Min Read
September 28, 2021
Out of  a zillion options, customers want to find the one item perfect for them. The recommendations team makes that happen by leveraging advanced machine learning techniques and our immense datasets to provide ever improving recommendations. A key step in this process is experimentation, i.e. the design, launch and analysis of A/B tests to understand which algorithm provides the best customer experience. This blog post describes a simulation tool our Analytics team has built and used prior to every test launch. This tool has improved our test success rate and testing velocity dramatically, and led to new insights/improvements of our recommendations.
10 Min Read
September 28, 2021
The Open Source Program Office is a developing initiative at Wayfair. Our mission is to solve technical problems collaboratively through the creation of, contribution to, and continued use of solutions expressed as open source software (OSS).
1 Min Read
September 10, 2021
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.
10 Min Read
August 23, 2021
The Case for Module Federation in Partner Home
7 Min Read
August 19, 2021
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!
6 Min Read
August 19, 2021
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.
6 Min Read
August 11, 2021
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.
6 Min Read
July 30, 2021
How data scientists at Wayfair build scalable ML systems to programmatically optimize marketing decisions.
8 Min Read
July 26, 2021
Wayfair hasn’t always been a household name, but technology has always been at the center of everything we do. When co-founders Niraj Shah and Steve Conine built our first website, racksandstands.com, they did so with ambitious plans for the future. As they built more than 250 more sites, they used data to understand how best to scale their effort to provide a better shopping experience across various Home categories.
4 Min Read
July 22, 2021
In earlier installments we covered how our cloud journey started, talked about testing and validation, and discussed internal processes that positioned us for making rapid iterations and helped to achieve predictable delivery.
6 Min Read
July 7, 2021
High-quality lifestyle imagery is core to Wayfair’s ability to merchandise its catalog effectively and help customers shop confidently. Creating lifestyle images through 3D models enables rapid production of product visual merchandising at scale, drives simultaneous reduction in cost and speed to produce imagery, and unlocks new ways (e.g. AR, VR) for customers to engage with products. Early tests show 3D-generated images can provide high quality visual detail of our products and increase conversion rates for flagship brands (main products in Wayfair’s portfolio and to which customers most relate or identify Wayfair). Therefore, producing 3D models quickly and accurately is key to further reducing 3D imagery costs and driving revenue. In this blog, we will introduce how machine learning is utilized to aid 3D modeling at Wayfair.
10 Min Read
June 21, 2021
As our journey continues, we have already covered testing at a smaller scale, learning throughout the process, and setting our ambitious goal to move Wayfair Storefront to the cloud!
5 Min Read
June 17, 2021
At Wayfair, we recommend millions of products across all styles and budgets. Because of the scale of our catalog, we constantly ask ourselves: how can we help our customers find the right products efficiently while discovering exciting complements to fill out their space?
9 Min Read
June 4, 2021
Wayfair is an international company with a presence in multiple countries: US, Canada, UK, and Germany. And where our UK customer might look to purchase a “heater”, our US customer might use the term “radiator” to describe the same thing. We want to ensure we’re able to understand that both customers are referring to the same item and interpret feedback left by customers in the form of product reviews correctly.
8 Min Read
June 4, 2021
In the previous installment, we talked about testing smaller components first, expanding the scope gradually, and learning more about the platform of choice in the process.
5 Min Read
June 3, 2021
In early August, the Data Science (DS) team put on their first DS-wide hackathon. The global hackathon event brought together Boston and Berlin based data scientists for one day of hacking and demos. The event challenged teams to think big about how algorithms can transform Wayfair’s business and help unveil unseen possibilities. Some successful tools and products on our site, like our Visual Search tool, started as hackathon projects! The hackathon is a fun challenge to try out new methods or algorithms, explore a different part of the business, and collaborate with team members across disciplines.
5 Min Read