Pinterest Interview Question Bank
Pinterest's loop leans hard on a recurring custom prompt library — escape-room state-tracking, trie-backed access control, ads/log aggregation, splitwise-style settlement — over canonical LeetCode. ML system design is split into two distinct rounds ("ML Practitioner" and "ML System Design") that effectively cover the same recommender / retrieval / ranking surface from two angles, with embedding-heavy product framing throughout. Fully-remote, front-loaded compensation, and long team-match windows define the experience as much as the technical bar.
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Count Valid IPv4 Addresses in Fetched TextMinimum Board Transfers Between PinsImplement a Read-Through Cache for Product GET APIShortest Way to Form StringHighly Active User Percentage by CountryTop Two Categories by Engagement Rate per CountryMinimum Buses Between StopsMinimum Subsequences to Form a Target StringCount Unique Active Pins Over TimeReturn All Target Expressions With Addition and Multiplication PrecedenceReach a Target by Inserting Addition or Multiplication Left to RightPins Violation Log QueriesReconstruct ItineraryGenerate All Attribute CombinationsBus RoutesDelete a Forest Subtree and Compact Parent IndicesDelete a Subtree and Compact a ForestDelete a Subtree by Marking Nodes as RemovedHierarchical Region Access ControlMinimize the Longest Continuous Hiking Time with K Rest StopsCombination Sum IV with Negative NumbersSplitwise: Minimize Debt Settlement TransactionsReconstruct ItineraryDesign Search Autocomplete SystemOptimal Account BalancingExpression Add OperatorsEscape Room Player State and LeaderboardReconstruct an Itinerary Without a Fixed StartRebalance Experiment Buckets Across Control and Enabled GroupsCompare Two Sets for Equality