Architect, SMART

Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 14 million items across home furnishings, d cor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes - from product discovery to final delivery.

Wayfair s Search and Recommendations team builds the core platforms and services that allow our customers to discover & buy the products they love. Just last year alone our team has contributed to hundreds of millions in incremental revenue. We do this by leveraging Wayfair s extensive customer and product data to deliver trusted and valuable recommendations in real-time using custom machine learning models. We productionalize these ML models as microservices and build data pipelines necessary for inference and model training.

The Predictive Search team is focused on enhancing the autocomplete dropdown, one of the most visible components of our site, to better understand customer intent and deliver the most relevant and personalized search results.

As a Staff Engineer , you ll play a pivotal role in shaping the technical direction for predictive search. You ll lead initiatives to design and build high-performing, scalable systems that deliver real-time, machine-learning-powered autocomplete suggestions. You will work closely with cross-functional partners, mentor team members, and deliver impactful results that directly enhance customer experience and drive business outcomes.

We have ambitious goals to improve this search functionality to better understand customer intent and map them to the most relevant destination on site.

What you ll do

What you ll need