At Wayfair, students and recent graduates get the chance to explore their potential outside the classroom and take the lead on distinct high-impact projects. Whether they want to gain new skills or build upon existing talents, we’ll give the support, experience and freedom they need to build exciting careers.
Why start your career at Wayfair?
We offer students and graduates the chance to learn new skills and build upon existing ones, whether it’s through technological training or a course on communication and negotiation.
From day one, you’ll take the lead on distinct high-impact projects and drive results. Wayfair believes in giving all employees the autonomy to innovate, build and fix quickly.
What better way to grow than by working side by side with people of all backgrounds and experience levels? At Wayfair, we make it easy for you to get to know your coworkers, and we’ll provide you with as many formal and informal mentoring opportunities as possible.
Find Your Next Opportunity
Our six-month internship programme is designed to help you understand what working as a full-time employee is like. You’ll be assigned real projects, work with your team and contribute directly to your team’s goals and objectives. We hire interns year-round and are open to student and graduate applicants from bachelor’s and master’s programmes.
As a working student, you will be working part-time on a dedicated team while pursuing your studies. You’ll gain experience and insight into your team’s day-to-day responsibilities while supporting them in achieving their goals. You must be enrolled full-time at a university and available to work 16–20 hours per week. We hire working students year-round for our locations in Germany.
No matter what role or tenure, interviews consist of behavioural questions and scenario-based questions. Behavioural questions are specifically-designed questions inspired by the core pillars against which all Wayfair employees are assessed: We Drive Results, We Win Together, and We Are Always Improving. Scenario-based questions are used to assess how candidates might operate in a real-world setting. Here are some tips to help you prepare!
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
Why we decided to modularize
7 Min Read
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
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.
5 Min Read
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
Two Birds, One Stone: Hedwig, A Random-Walk Based Algorithm for Substitutable and Complementary Furniture Recommendations
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
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
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