Uber Coding & Algorithms Interview Questions
Practice 303 real Uber interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Machine Learning, Behavioral & Leadership, Statistics & Math — across Software Engineer, Data Scientist, Machine Learning Engineer, and Technical Program Manager roles. Real questions from actual interviews with detailed solutions, focused guidance, and concrete interview preparation so you can practice the exact problem types Uber asks. Expect a coding-heavy loop for software engineering candidates: timed algorithm problems, online-assessment style OAs, and system-design tasks. For Software Engineer roles the recurring technical themes here are algorithm puzzles (kth-smallest-in-BST, knight/grid and reversal problems, prime-ending path counts), OA-style coding questions, and product-oriented design prompts such as a pickup-area driver queue and global nearby-restaurant search. Data Scientist questions center on membership/discount experiments, cold-start restaurant ratings and their launch evaluation, driver-acceptance modeling, and marketplace-impact analyses. Machine Learning Engineer prompts focus on completion-rate gaps, implementing attention and regression models, feed-ranking and restaurant-recommendation design, and pickup-location optimization. TPM items emphasize delivery-address fixes, competitive product comparisons, and leadership stories. Prepare by timing practice coding, rehearsing marketplace case studies, building short model write-ups, and polishing STAR examples for behavioral rounds.

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Evaluate business value of lower ETA
This question evaluates experimental design, causal inference, metric definition, statistical interpretation, and marketplace analytics in the context...
Return sorted squares of a sorted array
This question evaluates array-processing and algorithmic optimization skills, including handling negative values, element-wise transformations, and pr...
Derive a CDF from a PDF
This question evaluates a candidate's understanding of the relationship between probability density functions and cumulative distribution functions, i...
Find earliest time all riders become connected
You are given a time-ordered log of events involving Uber riders. Each event has a timestamp and two rider names. Event types: 1. t X shared-ride-with...
Design driver heat map and discuss consensus
Design driver heat map and discuss consensus Real-Time Driver Heat Map with Top-K Busiest Cells, Plus Paxos vs. Raft Context You are designing a real-...
Improve Estimated Time of Arrival for Uber Riders
Improve Estimated Time of Arrival for Uber Riders Scenario Ride-hailing platform: understanding and improving the Estimated Time of Arrival (ETA) show...
Design MapReduce for schedule aggregation
Design MapReduce for schedule aggregation MapReduce Design: Common Availability From Busy Intervals Context You are given large-scale calendar data: e...
Choose K pickup locations minimizing L1 distance
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Transform DataFrame and compute diff-in-diff
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Detect cycle in directed dependency graph
You are given a directed dependency graph representing services in a system. - There are n services, labeled from 0 to n - 1. - You are given a list o...
Compute exclusive execution time from logs
Problem You are given execution logs from a single-threaded CPU that runs n functions labeled 0..n-1. The CPU can run only one function at a time. A f...
Minimize time using elevator then climb stairs
This question evaluates a candidate's ability to model and optimize a discrete decision under resource constraints, testing algorithmic optimization, ...
Define ride success metric for Uber
This question evaluates skills in defining product-level KPIs, statistical validation, and experimental design for an on-demand mobility service, cove...
Measure driver experience quantitatively
This question evaluates a data scientist's competencies in designing composite metrics, event-level aggregation, statistical validation, debiasing for...
Derive paying users over time with churn
This question evaluates the ability to model user conversion and churn with discrete-time recurrence relations, derive closed-form expressions for pay...
Compute ETA shift and conversion uplift
Use PostgreSQL (SQL) and brief Python pseudocode. Assume 'today' is 2025-09-01. Schema: - trips(trip_id BIGINT, request_ts TIMESTAMP, city_id INT, rid...
Write SQL for fares and age-band counts
You have two tables. Schema: - drivers(driver_id VARCHAR PRIMARY KEY, name VARCHAR, date_of_birth DATE) - trips(trip_id VARCHAR PRIMARY KEY, driver_id...
Check anagrams under real-world constraints
Given two strings s and t, determine whether they contain exactly the same multiset of characters (e.g., 'abc' and 'cab' → true; 'aab' and 'ab' → fals...
Design promo experiment and explain correlation
This question evaluates causal inference, observational data interpretation, and randomized experiment design skills in a two-sided marketplace contex...
Design top-K frequency structure
Design an in-memory data structure that supports: add(x) to observe an item, inc(x) to increment its frequency, dec(x) to decrement (deleting when zer...