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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Describe past impact and conflict handling
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Tell about a past project and impact
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Measure Impact of Updated Rider ETA Algorithm
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Simulate a Rank-Based Tournament
This question evaluates ability to simulate tournament pairing and single-elimination progression using array manipulation and data structures while p...
Implement Cache Eviction And Seat Assignment
This question evaluates understanding of data structure design and algorithmic reasoning, covering cache eviction policies (least-recently-used) and s...
Design a ride-hailing ETA system
This question evaluates competency in applied machine learning and data science, including ETA system and product design, feature and label engineerin...
Evaluate Marketplace Changes
This question evaluates a data scientist's competency in experimental design, causal inference, metrics instrumentation, A/B testing, and marketplace ...
Design Nearby Restaurant Search
This question evaluates competency in large-scale system design for low-latency geospatial search, covering concepts such as geospatial indexing, cand...