Senior ML Scientist, SMART

Lead the development of cutting-edge machine learning algorithms in Wayfair's predictive search/type-ahead, content recommendations, or algorithmic customer understanding teams. Continually improve teams' ability to build efficient machine learning models by leveraging industry best practices and set high standards for craftsmanship of the entire team. Mentor a team of machine learning engineers, continuously upskill them while modeling a culture of continuous research and innovation. Collaborate closely with the product and engineering leaders in our SMART technologies group to build a next-generation search and recommendations stack and the organization required to maintain and innovate on it Contribute as a senior leader beyond the SMART group, in particular within Wayfair's broader ML community Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.

Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. The Search, Marketing, and Recommendations technology science team (SMART) builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods, to driving marketing experiences customers love all at web scale.