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Uber interview questions

217 practice questions in the style of Uber's interviews, covering Behavioral & Leadership, Statistics & Math, Coding & Algorithms, Machine Learning, System Design, Data Manipulation (SQL/Python), Analytics & Experimentation, Software Engineering Fundamentals, ML System Design, Product / Decision Making, Product Design & Strategy.

Questions217

9 easy156 medium52 hard

Your progress0/217

Uber interview questions by the numbers

Last updated

Katkat has 217 Uber interview questions. The largest topics are Coding & Algorithms (53%), System Design (12%) and Analytics & Experimentation (10%). By difficulty: 4% easy, 72% medium and 24% hard. The most common round is Technical Screen (47%). Frequent concepts include System Design, Algorithms, Greedy and Data Structures.

Topics

Difficulty

  • Easy4% · 9
  • Medium72% · 156
  • Hard24% · 52

Interview rounds

  • Technical Screen47% · 102
  • Onsite41% · 88
  • Online Assessment12% · 26
  • Other0% · 1

Roles

  • Software Engineer63% · 137
  • Data Scientist25% · 54
  • Machine Learning Engineer10% · 21
  • Frontend Engineer1% · 2
  • Backend Engineer0% · 1

Frequent concepts

  • System Design6% · 13
  • Algorithms5% · 11
  • Greedy5% · 11
  • Data Structures5% · 10
  • Causal Inference4% · 9
  • Distributed Systems4% · 9

Most mentioned in interview experiences

  1. 1.Describe your strongest project2 reports
  2. 2.Find next and closest palindromes2 reports
  3. 3.Find robots in a grid whose four-direction distances to blockers match a query2 reports
  4. 4.Aligning Two Teams with Conflicting Priorities and Learning from a Mistake1 report
  5. 5.Answer Repeated Shortest Increasing-Path Queries1 report
  6. 6.Apply instrumental variables under interference1 report
  7. 7.Assign Meetings to the Minimum Number of Rooms1 report
  8. 8.Behavioral: your most complex project, a conflict you resolved, and a failure1 report
  9. 9.Build a Quadtree and Analyze a Graph1 report
  10. 10.Compare Paxos and Raft1 report

Counted from 33 candidate interview experiences on Katkat. How we collect and count

Showing 211–217 of 217 results

  • Sort a String of Clothing SizesEasy

    This problem tests the ability to perform a custom sort on a constrained set of characters using an O(n) counting approach rather than a standard comparison-based O(n log n) sort.

    UberSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Sort by squares and find k-th smallestMedium

    This question evaluates array manipulation, ordering by derived keys (squares/absolute values), order-statistics reasoning, and algorithmic complexity analysis within the Coding & Algorithms domain.

    UberSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Track Customer Referral RevenueMedium

    This problem tests your ability to model a tree structure and maintain aggregated values across subtrees using recursion or iterative tree traversal.

    UberSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Uber Product Design: Build an AI-Powered Product for Riders or DriversMedium

    An Uber product manager design prompt asking you to create an AI-powered product for a ride-sharing app. It tests how you choose a user segment and pain point across riders and drivers, justify why AI fits, handle marketplace side effects, and define metrics, experiments and risks.

    UberProduct ManagerProduct Design & StrategyOther
  • Where to apply ML in a task flow from customer request to driver-uploaded evidenceMedium

    An ML system design discussion about a task platform: walk the end-to-end flow from a customer submitting a task to a driver completing it and uploading evidence, and identify where machine learning and LLMs add value. Tests prioritization, model framing, labels, evaluation and risk handling.

    UberMachine Learning EngineerML System DesignTechnical Screen
  • Write SQL and Pandas for Uber TripsMedium

    This question evaluates SQL and Pandas data manipulation competencies, including joins, time-based filtering, handling NULLs, aggregations, rate and ratio calculations, and windowed comparisons over grouped city-day data.

    UberData ScientistData Manipulation (SQL/Python)Technical Screen
  • Write SQL/Python for CTR analyticsMedium

    This question evaluates proficiency in data manipulation and analytics, covering SQL windowing and deduplication for time‑windowed cohort metrics (48‑hour unique CTR) as well as practical Python model evaluation tasks such as precision‑recall plotting, weighted F1 threshold selection, and precision@top‑k.

    UberData ScientistData Manipulation (SQL/Python)Technical Screen

Uber interview experiences

All 42 →
  • Building a Directory Tree and Traversing It with a Manual StackUber · Software Engineer · Technical Screen · Sep 2026
    Rejected

    The interview lasted 45 minutes. We first went through my resume. I was asked about my most challenging project and the technology stack I normally use, and the interviewer introduced the work of the hiring group. The remaining half hour was for coding. Given a series of file paths, I needed to build a directory tree and find the full path of a file in that tree. Directory names could repeat, but…

  • Matrix Swaps and Infrastructure DesignUber · Software Engineer · Senior+ · Onsite · Sep 2026

    The author describes an Uber infrastructure-backend interview process with a phone screen and three virtual-onsite rounds. The screen asked for a valid sequence of adjacent swaps that arranges a matrix into alternating-direction sorted rows, followed by discussion of reducing the number of operations. The applicant had to create tests and found the time limit demanding. Onsite coding involved rep…

  • 45 Min Coding Plus 15 Min Free-Form ML Design, Onsite Invite Next DayUber · Machine Learning Engineer · Technical Screen · Aug 2026
    In progress

    The phone screen format was 45 min coding + 15 min design. For coding I got the high-frequency "find robot" problem. I discussed the brute force solution with the interviewer, then how to precompute the distances in all four directions to speed it up, and finally wrote the optimized version. The interviewer didn't provide any test cases in HackerRank and didn't ask me to write any either. I only…

  • A Three-Level Robot Path OptimizationUber · Software Engineer · Senior+ · Technical Screen · Aug 2026

    In a grid, a robot needs to move from a starting point to a destination. Each move consumes one unit of battery power. Charging cells are distributed throughout the grid, and when the robot reaches one, its battery is recharged to full. The task is to find an optimal path using the following priorities, compared lexicographically: Minimize the number of charging cells used. Minimize the maximum b…

  • Four Onsite Rounds, All About the Follow-UpsUber · Software Engineer · Onsite · Aug 2026

    Four rounds, questions weren't hard but the pace was really fast Let me lead with the conclusion: Uber's problems really aren't hard, but they move fast. 45 minutes a round, and the interviewer practically wants you to knock out the main problem in 15 minutes so there's a full half hour left for piling on requirements. It felt less like solving problems and more like sitting in a requirements rev…

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