Lyft Interview Questions
Practice 41 real interview questions from Lyft. Covers Coding & Algorithms, Analytics & Experimentation, Behavioral & Leadership, System Design. For roles including Software Engineer, Data Scientist, Machine Learning Engineer, Product Manager.
"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"
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"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."
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"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 a charity donation platform
Design a charity donation website where donors can browse campaigns and make one-time donations. Payment execution is handled through an external paym...
Explain Transformer and Fine-Tuning Basics
You are interviewing for an AI-focused engineering internship. Explain the following: 1. What is the difference between a transformer model and an emb...
Explain Python and Systems Fundamentals
Answer the following software engineering fundamentals questions: 1. A production system has become very slow. How would you detect the bottleneck, me...
Design an HR Document AI Platform
Design an internal AI platform for a bank's HR organization. The platform should ingest HR documents such as policies, benefits guides, onboarding man...
How to Target Coupon Users
A ride-sharing company such as Lyft wants to launch a coupon campaign to increase commuter rides, but the coupon budget is limited. How would you anal...
Solve substring and worker assignment
The interview included two algorithm problems: 1. Shortest covering substring: Given two strings s and t, return the shortest contiguous substring of ...
Investigate MAU Drop and Test Coupons
You are interviewing for a Data Scientist role at a ride-hailing company. The company defines MAU (Monthly Active Users) as the number of unique rider...
Assign Minimum Workers to Jobs
You are given a line-delimited text stream representing jobs. Each job record contains a start time and a duration, for example 1030 30, meaning the j...
Implement command-driven in-memory key-value database
Implement a command-driven in-memory key–value database. Supported commands (one per line): 1) SET key value 2) GET key → print value or NULL 3) DELET...
Implement Cache and Key-Value Store
The interview report mentions coding tasks similar to the following: 1. Bounded cache Implement a cache with a fixed capacity. Support: - get(ke...
How to target commute coupon users?
You are a Data Scientist on the commute team at a ride-sharing company such as Lyft. The team wants to launch a coupon campaign to increase usage of c...
Analyze Causes of Increased Lyft Ride Wait Times
Scenario A ride-hailing marketplace observes a 20% month-over-month increase in rider wait time (time from request to driver arrival). Tasks 1) Root-c...
Design Dynamic Pricing System for Lyft: Key Features & Models
Scenario You are designing Lyft's real-time dynamic-pricing system to jointly optimize rider experience and marketplace health. The system should adju...
Solve grid compromise spread with BFS
You are given an m×n grid representing a data center: 0 = empty rack, 1 = secure server, 2 = compromised server. Each minute, any secure server that i...
Implement pagination and a time-versioned key-value store
Implement two coding tasks: 1) Transaction pagination: Given an in-memory collection of transaction records with fields (txn_id: string, user_id: stri...
Design a scalable real-time chat system
System Design: Real-Time Chat (1:1 and Groups) Context Design a mobile-first, globally available real-time chat system that supports both 1:1 and grou...
Implement paginated retrieval of transactions
Given a large list of transaction records (id, userId, amount, createdAt), implement APIs to return transactions in reverse chronological order with p...
Design experiments for marketplace balance
You propose a new supplier prioritization (ranking) policy intended to increase order completion in a two-sided marketplace with known interference be...
Compute Poisson supply–demand match probability
In a city-day of a two-sided marketplace, customer demand D ~ Poisson(8) and supplier capacity S ~ Poisson(6), assumed independent. (a) Compute P(S >=...
Investigate Sudden Metric Changes and Design A/B Test
Scenario A core business metric (e.g., conversion, cancellations, or gross bookings) shows a sudden spike or drop. Leadership asks for a rapid root-ca...