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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practice in the online judgeDesign 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 EqualityFind the Nearest Eligible ElevatorMinimum Pins to Exactly Fill a ScreenDesign Search Autocomplete SystemImplement Bootstrap Confidence Interval and Jackknife Standard Error for a Two-Group MetricDelete a Subtree in a Parent Array and Compact Deleted NodesImplement an In-Memory Table JoinSplit Array Largest SumCount Unique Pins by Policy and Date RangePlace Ads Into the Shortest ColumnSettle Group Trip ExpensesPut Boxes Into the Warehouse - Maximize Total Box HeightImplement a Sparse Matrix Class (store/print/add/multiply)Assign Pins to the Shortest Column (Min-Heap Scheduling)Escape Room (Shortest Escape Path in a Room Grid)Reconstruct a Queue by Height (Laundry Sorting Variant) + Distance Between Any Two StationsRobot Straight-Line Reachable Cells on a 2D Grid with Blockers (8 Directions)Pin Connectivity (graph connectivity related to Pins)Grant Access (permissions propagation / access control)Reconstruct Itinerary (with loop/cycle follow-up)Minimize Result by Adding Parentheses to ExpressionBubble Explosion on a Grid (One Round + Gravity)Scooter Hopping on a Number Line (Greedy Simulation)密室逃脱