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.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design an experiment with marketplace network effects
Causal Experiment Design for a Two‑Sided Marketplace with Interference You are designing a causal experiment for a new networked product in a two‑side...
Solve Two OA Algorithm Problems
These problems evaluate algorithmic optimization and graph connectivity competencies, specifically cost-constrained integer resource allocation for th...
Tell about a past project and impact
Tell about a past project and impact Behavioral: Past Project Deep Dive You are in a Software Engineer onsite interview. Share a past project you led ...
Measure Impact of Updated Rider ETA Algorithm
Measure the Impact of an Updated Rider ETA Algorithm A ride-hailing company updated the rider ETA prediction shown before a rider requests a trip. The...
Implement a Constant-Time Random Pool
This question evaluates a candidate's ability to design and implement an efficient data structure supporting average O(1) add, remove, and uniform ran...
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 a meeting scheduler with cancellations
Design a meeting scheduler with cancellations System Design: Meeting Scheduling Platform (Onsite) Context Design a multi-tenant meeting scheduling sys...
Prioritize rooms for allocation
System Design: Room Allocation and Ranking Service Context and assumptions: - The client sends a meeting request with: (a) time window or fixed start/...
Design MapReduce for schedules
Design a scalable job to compute rolling 15-minute meeting concurrency and room utilization You are given a massive log of meeting events with fields:...
Solve 12 coding interview problems
Below are multiple independent coding problems. --- Problem 1: Reduce an integer to 0 with \(\pm 2^i\) You are given a positive integer \(n\). In one ...
Compute time for virus to infect grid
This question evaluates a candidate's ability to reason about grid-based state propagation, algorithmic problem solving, and performance consideration...
Compute sums and max path in N-ary tree
This question evaluates implementation and traversal skills for N-ary tree data structures, including recursion/DFS techniques, aggregation of node va...
Explain grocery-specific product strategy and scrappy XP
Launching Grocery Delivery in NYC: Product and Experimentation Plan Context A delivery platform that is strong in restaurant delivery is launching a g...
Define market-only rider experience metrics
Market-only Rider Experience Metrics and Market Balance Index (MBI) You are designing a metric suite for a rides marketplace where "rider experience" ...
Investigate ride declines and test free trials
LA Shared Rides Down 10% MoM — Diagnostic And Action Plan Context: The Los Angeles market is seeing a 10% month-over-month decline in completed rides ...
Diagnose and reduce first-action drop-offs
Funnel Drop‑Off: Instrumentation, Incentives, Fairness, and Ownership Context You lead a program where candidates must: (1) submit paperwork, then (2)...
Count Valid Infection Orders
This question evaluates combinatorial enumeration and algorithmic reasoning by counting valid sequences of state changes in a linear infection process...