Yelp · Sep 2nd 2020
On the Intent Understanding & Recommendation team, our vision is for all of Yelp to recognize each user’s unique needs and interests. Our platform enables personalization and contextualization of features across all of Yelp’s apps and websites. To do this, first our backend systems recommend relevant searches, filters, businesses, and places in the world, making it easy for users to specify what they want. Then, when users interact with these recommendations or anything else, we process their actions into semantic representations, for example mapping the text they’ve searched for to the most relevant business categories. Finally, we share this enriched data with a variety of other backend systems, enabling the features they power to perfectly match what the user wants. We’re scaling these systems into a platform that benefits more and more aspects of Yelp every day.
Are you intrigued by the challenge of building real-time recommender systems at scale? Do you want to work with diverse data types including text, geospatial, and concept taxonomies? And are you excited to impact both Yelp users and company-wide internal clients of a growing platform? If this sounds like you, join the team that makes tens of millions of people each month think, “Wow, Yelp understands exactly what I’m looking for!”
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Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to Age, Disability, Gender Reassignment, Marriage or Civil Partnership, Pregnancy and Maternity, Race, Religion or Belief, Sex.
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