Uber Interview Questions

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.

303 Questions 1 Company07.03.2026
Showing 20 results
Role
Uber logo
Uber
Medium
Data Scientist

Compute square root to 1 decimal

Problem Given a non-negative real number x, implement a function sqrt1dp(x) that returns \(\sqrt{x}\) rounded (or truncated—clarify with interviewer) ...

Coding & Algorithms
15
0
109 people solved
Sep 16, 2025
Uber logo
Uber
Medium
Software Engineer

Solve vault rate and subset-sum

1) Robber vaults rate: You are given an array vaults of positive integers where vaults[i] is the amount in the i-th vault, and an integer h (hours). I...

Coding & Algorithms
7
0
65 people solved
Sep 6, 2025
Uber logo
Uber
Medium
Software Engineer

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...

Coding & Algorithms
6
0
62 people solved
Sep 6, 2025
Uber logo
Uber
Medium
Software Engineer

Find earliest common meeting slot

Question Given the calendars of N attendees, find the earliest time window of length at least d minutes during which all attendees are simultaneously ...

Coding & Algorithms
11
0
82 people solved
Sep 6, 2025
Uber logo
Uber
Medium
Software Engineer

Implement rate limiter, top-K, scheduler algorithms

Question Design and implement a thread-safe Rate Limiter; extend it to support multi-threading and a version where current time is not passed as an ar...

Coding & Algorithms
6
0
64 people solved
Aug 4, 2025
Uber logo
Uber
Medium
Software Engineer

Find minimal rate k and subset sum

Question LeetCode 875. Koko Eating Bananas — Given vault sizes [3, 6, 7, 11] and time h = 8 hours, find the minimum integer rate k (vault units per ho...

Coding & Algorithms
50
0
359 people solved
Aug 4, 2025
Uber logo
Uber
Hard
Data Scientist

Evaluate New Model's Impact on Rider and Driver Experience

Evaluate New Model's Impact on Rider and Driver Experience Airport Pickups ETA Model: Evaluation and Experiment Design Context A new model predicts ri...

Analytics & Experimentation
11
0
80 people solved
Aug 4, 2025
Uber logo
Uber
Medium
Software Engineer

Parse and evaluate nested expressions with validation

Design and implement a parser/evaluator for a parenthesized expression language where the input string may be invalid. The language uses spaces as tok...

Coding & Algorithms
3
0
60 people solved
Jul 31, 2025
Uber logo
Uber
Medium
Software Engineer

Simulate robot on grid with obstacles

Simulate robot on grid with obstacles A robot starts at (0, 0) on an unbounded integer grid. You are given a sequence of commands consisting of charac...

Coding & Algorithms
7
0
80 people solved
Jul 15, 2025
Uber logo
Uber
Medium
Data Scientist

Evaluate Auto-Play Impact with Key Metrics and Experiment Design

Evaluate Auto-Play Impact With Metrics and Experiment Design A streaming platform is considering auto-playing the next episode to improve engagement. ...

Analytics & Experimentation
26
0
51 people solved
Jul 12, 2025
Uber logo
Uber
Medium
Software EngineerSenior+

Thread-Safe Token-Bucket Rate Limiter

Thread-Safe Token-Bucket Rate Limiter Design and implement a thread-safe rate limiter using the token bucket algorithm. The limiter is shared by many ...

Coding & Algorithms
0
0
6 people solved
Jun 28, 2026
Uber logo
Uber
Easy
Software EngineerNew Grad Locked

Sort a String of Clothing Sizes

Sort a string containing only S, M, and L into size order in linear time. Extend the discussion to custom token orderings, unknown-size behavior, empt...

Coding & Algorithms
2
0
15 people solved
Jun 24, 2026
Uber logo
Uber
Medium
Software Engineer Locked

Reconstruct the Alphabet Order of an Alien Language

This question tests graph construction and topological sorting, core algorithmic skills for reasoning about partial orderings derived from constraints...

Coding & Algorithms
0
0
1 people solved
Jun 8, 2026
Uber logo
Uber
Medium
Software Engineer Locked

Maximize Throughput and Count Trigger Components

This question evaluates proficiency in algorithmic optimization under resource constraints (maximizing pipeline throughput within a budget) and in mod...

Coding & Algorithms
1
0
12 people solved
May 28, 2026
Uber logo
Uber
Medium
Backend Engineer Locked

Replace Dashes With Nearest Letters

This question evaluates a candidate's competence in grid traversal, distance computation using Manhattan metrics, and handling tie-breaking rules incl...

Coding & Algorithms
0
0
9 people solved
May 25, 2026
Uber logo
Uber
Easy
Software Engineer Locked

Find Earliest Column With One

This question evaluates algorithmic problem-solving and optimization skills for working with a row-wise sorted binary matrix accessed via an API, focu...

Coding & Algorithms
1
0
16 people solved
May 15, 2026
Uber logo
Uber
Medium
Software EngineerSenior+ Locked

Implement Last-Click Attribution APIs

This question evaluates a candidate's ability to implement stateful, time-windowed event matching and attribution, testing skills in data structures, ...

Coding & Algorithms
1
0
13 people solved
May 9, 2026
Uber logo
Uber
Medium
Software Engineer Locked

Implement Minesweeper and Word Search

This multi-part prompt evaluates grid-based algorithmic skills, including randomized board construction with neighbor counting, straight-line pattern ...

Coding & Algorithms
1
0
14 people solved
May 7, 2026
Uber logo
Uber
Medium
Software EngineerSenior+ Locked

Implement Store Autocomplete

This question evaluates string matching, prefix search, and data structure selection skills by requiring an autocomplete method that returns entries b...

Coding & Algorithms
2
0
19 people solved
May 5, 2026
Uber logo
Uber
Medium
Frontend Engineer Locked

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...

Coding & Algorithms
1
0
14 people solved
May 4, 2026

Frequently Asked Questions

How hard are Uber interview questions?
Uber interview questions range from moderate to very challenging depending on role and level. Software Engineer loops emphasize data structures, algorithms and system-design problems that often require multi-step solutions and production tradeoffs, so expect mid-to-hard coding and design tasks. Data Scientist interviews skew toward analytics, experimentation and marketplace judgment with case-style product questions that reward rigorous causal thinking. Machine Learning Engineer rounds mix implementation and ML-system design, and TPM questions focus on program delivery and stakeholder tradeoffs. Preparation quality and interview level (junior vs senior) are the main determinants of perceived difficulty.
What is Uber's interview process and which roles ask these question types?
The typical Uber hiring sequence starts with a recruiter screen, followed by one or two technical phone or take-home assessments for some roles, then an onsite or virtual loop of four to six interviews and a hiring-committee review. Software Engineer rounds concentrate on coding, online assessment problems and system design. Data Scientist interviews emphasize SQL, experiments, product-analytics cases and behavioral ownership. Machine Learning Engineer interviews add ML model implementation and productionization questions. Technical Program Manager interviews focus on cross-functional program examples and behavioral leadership. Timelines usually span three to six weeks.
How long should I prepare for an Uber interview and how should I structure my timeline?
Plan your preparation based on role and current skill level. For Software Engineer positions allocate six to twelve weeks focusing on timed coding practice, mock interviews and system-design case work. Data Scientist candidates should budget three to six weeks prioritizing SQL, experimentation, product-case practice and clear storytelling about impact. Machine Learning Engineers need four to eight weeks combining model implementation, systems design and coding. TPM candidates can prepare in two to four weeks concentrating on program examples and stakeholder communication. Include final-week full mock loops and a review of role-specific Uber product scenarios.
Which specific subtopics should I focus on for each position at Uber?
For Software Engineers concentrate on algorithmic patterns seen in past Uber questions: BST kth-smallest, graph and knight problems, two online-assessment algorithm tasks, queue design for pickup-area driver matching, and product-oriented designs like global nearby-restaurant search and trade-off-driven design changes. Data Scientists should drill A/B testing, causal inference, cold-start rating models, marketplace evaluation (driver acceptance, membership and priority delivery impact) and translating analyses into action. Machine Learning Engineers should practice implementing attention, linear and logistic regression, feed ranking and ML-system tradeoffs including pickup-location optimization. TPMs should rehearse unclear-address resolution and cross-product comparisons with crisp ownership stories.
What standout tips and common pitfalls should I know before interviewing at Uber?
Standout tips: always clarify requirements and constraints up front, structure answers around measurable metrics and business impact, and narrate tradeoffs between latency, cost and accuracy. Use concrete examples from marketplace contexts and quantify outcomes when possible. For coding, write clean, testable code and discuss complexity and edge cases. Common pitfalls include skipping assumptions, failing to justify metric choices in product/analytics problems, neglecting production implications for ML designs, and overfitting to toy solutions instead of addressing scale and reliability. End with clear next steps or monitoring plans to show ownership.

Explore more Uber interview questions

Jump straight to Uber questions for a specific role or category.

By role
By category
In-depth guides
Across all companies