Uber 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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Solve Several Algorithm Problems
This collection evaluates proficiency in string processing (longest palindromic substrings), graph connectivity and union‑find style concepts for 2D p...
Implement Multi-Head Self-Attention
This question evaluates understanding of multi-head self-attention and the competency to implement transformer attention modules using learned Q/K/V p...
Design a switchback and choose block length
Switchback Experiment Design: Airport Pickup Pricing with Spillovers You are a data scientist designing a switchback (time-based A/B) experiment to ev...
Design airport dispatch with ETA uncertainty
You control airport pickups with streaming ETAs for arriving flights and live driver locations/queues. Design an online dispatch algorithm that minimi...
Measure rider incentive causal ROI
Rider Incentive Targeting: Causal Incrementality, ROI, and Spillovers Context: You plan a rider‑side incentive (e.g., “20% off up to $10”) targeted by...
Solve BST and Grid Query Problems
This question evaluates understanding of binary search tree order-statistics and grid reachability under threshold constraints, testing competencies i...
Design a search autocomplete system
Design a Search Autocomplete System Design a planet-scale search autocomplete (type-ahead) service. As a user types into a search box, the service ret...
Evaluate UberEATS priority delivery and membership
This question evaluates a data scientist's competency in pricing strategy, marketplace economics, causal experimentation, metric selection, and estima...
Design ETA prediction for Uber rides
System Design: Real‑Time Pickup and Drop‑off ETA Prediction Context: You’re designing an end‑to‑end system that predicts pickup and drop‑off ETAs at t...
Demonstrate Leadership in Ambiguous Analytics Projects
Behavioral & Leadership: End-to-End Analytics Project Under Ambiguity and Time Pressure Context You are a Data Scientist interviewing for a technical ...
Select the better $5 promo-targeting model
Coupon Targeting Under a Daily Budget: Policy, OPE, Calibration, and Monitoring Context - You have two user-scoring models for a $5 coupon: M0 (curren...
Design an A/B test; choose Z vs T
A/B Test on a Signup Funnel: Sample Size, Test Choice, Sequential Design, and Causal Plan Context You are planning a two-variant A/B test on a signup ...
Measure feature impact with switchback, PSM, and CACE
You work at a ridesharing company and want to measure the impact of a new membership feature on rides-per-user (RPU). Across the parts below you will ...
Implement 1D convex minimization in Python
Question Implement, in Python, an algorithm that minimizes a 1D black-box convex function F(x) over a closed interval [a, b]. Assume F is convex (henc...
Design real-time grid ETA for drivers
Real-Time Grid-ETA System Design You are tasked with designing a real-time system that maintains the remaining ETA for every driver currently located ...
Improve robustness of graph cycle detection code
You have written code to detect cycles in a directed dependency graph of services, where nodes represent services and edges represent dependencies bet...
Perform matrix Candy Crush elimination
Question Implement a function that, given an m × n integer matrix representing colored blocks (same integers = same color), performs one round of "Can...
Optimize Surge Notifications for Rideshare Drivers
Optimize Surge Notifications for Rideshare Drivers Scenario A rideshare marketplace experiences airport demand spikes. When demand exceeds supply, the...
Design Rideshare Marketplace Causal Analyses
You are a data scientist at a ride-hailing marketplace. Answer the following case prompts as if you were advising product, operations, and marketplace...
Design an Uber feature and analyze safety
You are interviewing for a Data Scientist summer internship at a ride-sharing marketplace. Part A: Product case Uber wants ideas for a new rider-facin...