Uber
Ride-hailing and delivery platform with massive real-time data challenges.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
•
Coding
•
medium
Given an array of ride requests with start and end times, find the minimum number of drivers required to fulfill all requests.
#Arrays
#Sorting
#Greedy
#Heap
Machine Learning Engineer
•
Coding
•
hard
Given a city map represented as a weighted directed graph where nodes are intersections and edges are roads with travel times, write a function to find the top K shortest paths between a rider and a destination.
#Graphs
#Dijkstra
#A* Search
#Priority Queue
Machine Learning Engineer
•
Coding
•
medium
Implement an autocomplete system for the Uber app destination search. Given a prefix, return the top 5 most frequently searched locations.
#Trie
#Hash Map
#String Manipulation
#Design
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.