LinkedIn Interview Questions
Practice 142 real LinkedIn interview questions for 2026. Covers all top categories — Coding & Algorithms, System Design, Analytics & Experimentation, Data Manipulation (SQL/Python), and Behavioral & Leadership — across Software Engineer, Data Scientist, Machine Learning Engineer, and Data Engineer roles. Real questions from actual interviews with detailed solutions; this collection is designed for focused interview preparation that prioritizes coding and scale-first problem solving alongside rigorous metrics thinking. Expect LinkedIn interviews to evaluate production-ready tradeoffs, clear metricization of ranking and relevance, and the ability to diagnose live-traffic regressions. For Software Engineer candidates, recurring themes include constant-time randomized data structures and frequency-weighted sampling, Top-K ranking service design and distributed-scaling considerations, plus classic array/string and stack-with-max algorithmic problems. Data Scientists should be ready for model fundamentals and optimization (logistic regression, backprop, Adam), causal and experimentation diagnostics for feed/homepage drops, and sampling/variance concerns in ranking metrics. Machine Learning Engineers will see recommendation and skills-inference system design, clustering convergence and probabilistic sampling questions, and production alerting/spike-detection. Data Engineers encounter efficient data-structure implementations tied to measurable production impact.
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Explain Logistic Regression, Backprop, and Adam
Walk through the mathematical foundations that connect logistic regression to modern deep-learning training. The interviewer expects you to write the ...
Review a Web Application Architecture
You are given a high-level architecture diagram for a web application: Client/Web App -> DNS -> Load Balancer -> Application Service -> Database The a...
Design a Global Calendar Service
Design a calendar system for users in multiple time zones. The system should support: - creating, updating, deleting, and viewing calendar events - on...
Scale a Distributed Randomized Multiset
After designing the randomized multiset on a single machine, explain how you would scale it across multiple servers. The distributed system should sup...
Compute each member’s current notification status
Question You are given two tables describing LinkedIn members’ push-notification settings. Compute each member’s current notification status as of 202...
Debug Queues and Solve Arrays
During the coding rounds, the interviewer asked several implementation problems: 1. Debug a priority queue. You are given an array-backed min-heap. Th...
Generate uniform 0–6 from biased coin
You are given a function: - int getRandom01Biased() returns 0 with probability p and 1 with probability 1-p, where p is unknown and may be any value i...
Can You Place N Objects?
You are given a binary array slots representing a row of locations. 1 means the location is already occupied, and 0 means it is empty. You want to pla...
Compute graph distance and impacted services
Part A — Graph shortest distance (BFS) You are given an interface representing a node in an unweighted graph: `java interface Candidate { String id(...
Compute article-type diversity per user and histogram
You track article views and article metadata. Tables article_views - user_id INT - article_id INT - view_date DATE articles - article_id INT (PK) - ar...
Design a system for LinkedIn Skills
Design an ML system for “LinkedIn Skills”. The system should infer and/or recommend skills for members, and support downstream use cases like search/r...
Answer practical ML foundations questions
In an ML interview, you are asked a series of practical ML foundation questions: 1) Model outputs probabilities. When do you need probability calibrat...
Analyze member video posting behavior by country
Question You are given two tables describing LinkedIn members and the videos they upload. Write SQL (and optionally Python where noted) to answer the ...
Sample uniformly from a circle’s area
How would you generate a point (x, y) uniformly at random from the area of a circle of radius R centered at the origin? - Explain why naive choices (e...
Sample index from weighted probability distribution
Given an array weights[0..M-1] representing a discrete distribution over M outcomes, implement a function sampleIndex(weights) that returns an index i...
Design a Randomized Multiset
Implement a data structure for integers that allows duplicate values and supports the following operations in expected O(1) time: - insert(val): Add o...
How to diagnose traffic and measure relevance?
You are a data scientist at LinkedIn evaluating two separate Home-page product questions. 1. Home Page to Profile Page traffic declined. The tracked m...
Derive mean and variance of x̄
Let \(X_1, X_2, \dots, X_n\) be random variables, and define the sample mean as \(\bar X = \frac{1}{n}\sum_{i=1}^n X_i\). 1. Assume the variables are ...
Plan and lead a large recommendation project
You are given a recommendation design problem, but the interviewer focuses on leadership and execution rather than detailed modeling. Explain how you ...
Count Trips From Vehicle Logs
You are given a text log of vehicle events on a road system. Each log record contains: - license_plate: a string identifying a vehicle - event_type: o...