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Interview Questions
Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.
- 9403
- Questions
- 546
- Companies
- 11
- Topics
- 8
- Languages
Showing 8791–8820 of 9403 results
- UberMediumSoftware EngineerImplement rate limiter, top-K, scheduler algorithms
This question evaluates proficiency in concurrent programming and thread-safe design, core algorithm implementation (binary search and top-K logic), data structure usage (including doubly-linked-list techniques), and scheduling and ranking reasoning for meeting and resource allocation.
Coding & AlgorithmsOnsite - UberHardSoftware EngineerImplement three interview-style coding tasks
This set of tasks evaluates algorithm and data-structure design skills within the Coding & Algorithms domain, focusing on array windowing and range constraints, dynamic connectivity with component-size maintenance, and time-windowed streaming counters with per-user rate limiting.
Coding & AlgorithmsOnsite - UberMediumSoftware EngineerImplement uniform sampling in squares
Implement uniform sampling in squares evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnsite - UberMediumData ScientistImplement weighted sampling without replacement
This question evaluates a candidate's ability to design numerically stable, streaming weighted-sampling methods and tests competencies in randomized algorithms, probability, numerical analysis, and memory/time trade-offs.
Coding & AlgorithmsTechnical Screen - UberHardData ScientistImprove Estimated Time of Arrival for Uber Riders
This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Improve Estimated Time of Arrival for Uber Riders states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationTechnical Screen - UberHardData ScientistInvestigate ride declines and test free trials
This question evaluates proficiency in product analytics, cohort and funnel analysis, retention and supply diagnostics, pricing and subscription economics, and experimentation design.
Analytics & ExperimentationOnsite - UberMediumSoftware EngineerKth Employee Reached in an Ordered Hierarchy
This problem tests tree traversal techniques, specifically finding the k-th node in an in-order traversal of a binary search tree while handling dynamic updates or specific subtree constraints.
Coding & AlgorithmsOnline AssessmentTreesBinary Search TreeTraversal - UberMediumSoftware EngineerLast Truck to Leave a One-Dimensional Lane
Determine the time and ID of the last truck to exit a one-dimensional lane where trucks travel at constant speed and reverse directions upon colliding.
Coding & AlgorithmsOnline AssessmentArraysSortingBrainteaser - UberHardSoftware EngineerMaintain the First Value That Appears Exactly Once
Practice a Uber coding interview problem focused on maintain the first value that appears exactly once. The prompt emphasizes edge cases, clean implementation, and verifiable test behavior without revealing the solution.
Coding & AlgorithmsTechnical Screen - UberHardSoftware EngineerMaximize Minimum Scaled Value
This problem tests your ability to use binary search on the answer space to solve a constrained resource allocation problem effectively.
Coding & AlgorithmsOnline AssessmentBinary SearchGreedyOptimization - UberMediumSoftware EngineerMaximize Throughput and Count Trigger Components
This problem tests your ability to optimize resource allocation using a greedy strategy and to identify connected components in a grid-based graph using traversal techniques.
Coding & AlgorithmsTechnical ScreenGreedyGraphsBFS/DFS - UberHardSoftware EngineerMaximize stock profit with one or two trades
This question evaluates algorithmic problem-solving skills in array processing and transaction-constrained optimization, exercising greedy and dynamic programming concepts within the Coding & Algorithms domain.
Coding & AlgorithmsOnsite - UberMediumSoftware EngineerMaximize the Eligible Carpool Group
This problem tests your ability to use a sweep-line algorithm or difference array to find the optimal point to maximize the number of overlapping intervals, subject to specific constraints.
Coding & AlgorithmsOnsiteArraySweep-linePrefix Sum - UberHardSoftware EngineerMaximum Score with Prime Jumps
This problem tests dynamic programming and number theory, specifically the ability to combine linear path traversal with jump-based transitions constrained by prime number properties.
Coding & AlgorithmsOnline AssessmentDynamic ProgrammingPrime NumbersGraph Traversal - UberEasyData ScientistMeasure feature impact with switchback, PSM, and CACE
This question evaluates proficiency in causal inference and experimental design for product metrics, specifically testing knowledge of switchback experiments, time-series adjustments (seasonality and autocorrelation), propensity score methods for observational comparisons, and complier-average causal effect (LATE/CACE) estimation; it belongs to the Analytics & Experimentation and Data Science domain. It is commonly asked because it probes handling of real-world complications—time and city heterogeneity, non-compliance, and derived-metric inference—and tests both conceptual understanding of causal assumptions and practical application of statistical adjustment and inference.
Analytics & ExperimentationTechnical Screen - UberHardData ScientistMeasure rider incentive causal ROI
This question evaluates a data scientist's competency in causal inference and experimental design, marketplace health metric construction, ROI estimation, and the handling of selection bias, spillover effects, multiple testing, and heterogeneity in two-sided platforms.
Statistics & MathTechnical Screen - UberMediumSoftware EngineerMinimum Delivery Cost Between Cities
This problem tests your ability to optimize pathfinding costs in a graph where edge weights are determined by a combination of absolute differences and conditional local minimums.
Coding & AlgorithmsOnline AssessmentGraphsShortest PathGreedy - UberMediumSoftware EngineerMinimum Rooms, Merged Busy Blocks and Conflict Handling for Meeting Intervals
A multi-part coding question built on the classic meeting-room scheduling problem: find the minimum number of rooms for a set of meetings, merge overlapping meetings into busy blocks, and detect and handle booking conflicts. It tests interval ordering, endpoint conventions, sweep reasoning and efficient lookups.
Software Engineering FundamentalsTechnical Screen - UberMediumSoftware EngineerModel user-to-resource access permissions in a graph database and migrate to it
Design how to store and check which people can access which resources using a graph database, including the vertex and edge schema, access-check traversals, and scaling with caching and partitioning. It also covers migrating from the existing database without downtime, testing access modeling, bounded traversals and safe data migration.
System DesignOnsite - UberMediumData ScientistMove zeros to front
This problem tests your ability to manipulate array indices in-place to reorder elements according to a specific condition while maintaining relative stability.
Coding & AlgorithmsTechnical ScreenArraysTwo-PointersIn-place - UberHardData ScientistNavigate urgency, priorities, and conflict
This question evaluates a candidate's ability to manage ambiguity, prioritize competing projects and deadlines, navigate cross-team dependencies, influence stakeholders without formal authority, and quantify outcomes and process improvements.
Behavioral & LeadershipTechnical Screen - UberHardSoftware EngineerObject-Oriented Parking Lot Design with Check-In and Check-Out
An object-oriented design interview question asking you to model a parking lot and implement working check-in and check-out methods. It tests class design and relationships, fast free-spot lookup across vehicle sizes, ticket handling, fees, edge cases, and thread safety.
Software Engineering FundamentalsOnsite - UberMediumSoftware EngineerParse and evaluate nested expressions with validation
This question evaluates a developer's ability to design and implement a robust parser and evaluator for a parenthesized expression language, testing parsing, lexical scoping and variable binding, operator semantics, error detection, and safe integer arithmetic.
Coding & AlgorithmsOnline Assessment - UberMediumMachine Learning EngineerPresent a Marketplace ML Project Deep Dive
This question evaluates a candidate's competence in end-to-end ML system design, product-oriented machine learning, and cross-functional skills such as feature engineering, model deployment, online experimentation, monitoring, stakeholder communication, and measuring business impact.
ML System DesignTechnical Screen - UberMediumSoftware EngineerPrint directory tree with indentation
This question evaluates proficiency with representing and traversing hierarchical directory trees and producing depth-based formatted output, testing concepts such as tree traversal, recursion or iterative depth tracking, and string formatting for indentation.
Coding & AlgorithmsTechnical Screen - UberHardSoftware EngineerPrioritize rooms for allocation
This question evaluates a candidate's ability to design a real-time room allocation and ranking service in the System Design domain, testing competencies in architectural design, ranking and scoring functions, data sourcing and freshness, fairness mechanisms, and online evaluation and experimentation.
System DesignOnsite - UberMediumSoftware EngineerProduce a valid deployment order
This question evaluates proficiency in graph algorithms and dependency resolution, including concepts such as topological ordering, cycle detection, and complexity analysis, plus systems-level reasoning about service deployment dependencies.
Coding & AlgorithmsTechnical Screen - UberMediumSoftware EngineerQuadtree for 2D Geospatial Points
This problem tests the implementation of a spatial indexing structure by requiring the construction of a Point Quadtree that recursively divides 2D space into four quadrants.
Coding & AlgorithmsOnsiteTreesGeometryRecursion - UberMediumSoftware EngineerReconstruct the Alphabet Order of an Alien Language
This question tests the ability to model partial ordering constraints using a directed graph and perform a topological sort to deduce a valid sequence.
Coding & AlgorithmsOnsiteGraphsTopological SortDFS - UberMediumBackend EngineerReplace Dashes With Nearest Letters
This problem tests your ability to perform a multi-source shortest path search on a grid to determine the influence of characters on empty spaces, using Manhattan distance and lexicographical tie-breaking.
Coding & AlgorithmsTechnical ScreenBFSGridGraph
Uber