Who We Are
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.
We are looking for an experienced machine-learning manager and technical lead to lead the research and development of the ML systems that power our real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience teams. In this role, you are accountable for the technical roadmap, team build out, and plan to pursue innovative ideas to build the next generation of Wayfair’s ML stack for one of these teams. You will collaborate closely with the engineering, analytics, and product leads within our SMART team to define the technical vision and work with your leadership to build the organization and team required to execute on it. This role is a cornerstone of the Search, Marketing, and Recommendations Technology (SMART) organization, with broad visibility and close communication with leaders across the business up to Executive level.
What You’ll Do
What You’ll Need
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Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
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