At Wayfair, we know that software engineering is a team sport. Broadly speaking, we organize our engineers into small working teams of anywhere between three to eight people. When you have issues getting application code running on your development machine, or questions about features that your team supports, having that…
I’m Mike Festa and I’m the director of Wayfair Next. We are a team of 25 engineers carrying out R&D with cutting edge technology. We partner with other leading tech companies, such as Google, Facebook, Microsoft, and Magic Leap, to bring new experiences to our customers on their emerging platforms….
Accurate performance monitoring is crucial for Wayfair’s Storefront Engineering team. Each day we deploy hundreds of code changes to the web application for our customer-facing websites, and each change has the potential to impact performance for better or worse. For this reason, we carefully monitor KPIs such as page load…
Top left to right: Yumeng Ma (University of Michigan), Steven Yin (Columbia), Michael Spece, Carnegie Mellon University), Quinn Donahoe (University of Pittsburgh), Cristian Gavrus (UC Berkeley) Bottom left to right: Ai Xu (Harvard), Elyse Norton (NYU), Aybike Ulusan (Northeastern),Yuija Zhou (Boston University) It’s safe to say that Wayfair’s Data…
As part of the Python Platform Team here at Wayfair, I help support Wayfair’s 100+ Python engineers and data scientists. We’re the go-to team when it comes to better leveraging Python within the Wayfair Tech ecosystem. During some recent project work, we recently investigated a production issue with a Flask…
Come find us! Next week, Wayfair Data Science will be hitting the road. Data scientists and engineers from across our teams will be attending the SIGIR Conference on Research and Development in Information Retrieval in Ann Arbor, Michigan, as well as the International Conference on Machine Learning (ICML) in Stockholm, Sweden. Here…
A little over a year ago, I found myself taking on a unique and exciting opportunity: Building a Python Platform team from the ground up. Despite its size, Wayfair gives teams a large degree of autonomy in deciding how they operate, which meant we had a true blank slate to…
No two people’s paths to Wayfair are exactly the same. On our data science team alone we employ physicists, neuroscientists, biophysical chemists, economists, mathematicians, statisticians, and more! Our data scientists are united by a love of data and a knack for problem solving, but each person has a different story…
Keeping up with Wayfair’s blisteringly fast year over year growth is a blessing, and alas, also incredibly challenging. E-commerce companies naturally experience their busiest time during the holiday season, and our engineering teams are often thinking about the next holiday season as soon as the previous one ends. To…
Next week, Wayfair Data Science will be at the Computer Vision and Pattern Recognition conference in Salt Lake City. We’re bringing data scientists and engineers from several different teams, plus a VR rig to try out the shopping experience of the future (come find us at booth 224!). We pride…
Early in 2017, in the course of deciding to convert to React as our frontend framework, we realized we needed to render our React components on the server. We adapted Airbnb’s open source Hypernova renderer for our purposes. In particular, we implemented custom module resolution and modified the Hypernova module…
