About the RoleAds is one of the fastest growing lines of businesses at Uber. Every day thousands of advertisers use our Advertising platform to reach users on the Uber platform to help grow their businesses. The Science team on Ads Delivery designs and builds the core algorithmic components of the Ads Delivery system.As a Staff Machine Learning Engineer on the team, you will work on understanding how various parts of the system (e.g. auction, pacing, bidding, ranking) are performing. You will lead the design and implementation of new algorithms to make our Ads Delivery system more efficient and performant.We are looking for experienced candidates, who have had experience building Ads Delivery systems to help accelerate our growth. The ideal candidate should possess a strong passion for understanding complex systems, have the curiosity to understand why systems behave in certain ways, have the drive to research / propose new system designs and is a pragmatist.
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