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
•
System Design
•
hard
Design Uber's surge pricing model. How would you predict demand and supply in a given geohash for the next 10 minutes?
#Time Series
#Geospatial Data
#Regression
#Real-time ML
Machine Learning Engineer
•
System Design
•
hard
Design a restaurant recommendation system for Uber Eats. How do you handle the cold start problem for new users and new restaurants?
#Recommendation Systems
#Collaborative Filtering
#Two-Tower Models
#Cold Start
Machine Learning Engineer
•
System Design
•
medium
Design a real-time fraud detection system for Uber accounts (e.g., detecting stolen credit cards or fake driver accounts). How do you deal with highly imbalanced data?
#Anomaly Detection
#Classification
#Imbalanced Data
#Graph Neural Networks
Machine Learning Engineer
•
System Design
•
hard
Design the ML architecture for dispatching drivers to riders. How do you balance minimizing rider wait time with maximizing driver earnings and system throughput?
#Reinforcement Learning
#Bipartite Matching
#Operations Research
#Multi-objective Optimization
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.