LinkedIn Interview Questions
Practice 147 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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Analyze Profile Traffic Drop
This question evaluates a data scientist's competency in product-metrics analysis, instrumentation validation, segmentation and attribution, and causa...
Count Article Types Viewed
Count Article Types Viewed You are given article view events and article metadata. Table 1: article_views — one row per article view event. | Column |...
Compare heap and stack memory
Compare heap and stack memory. Explain how each is allocated and freed, typical lifetimes of data stored there, access patterns and performance charac...
Explain your most impactful project clearly
Technical Communication / Behavioral Describe the project you worked on that had the largest measurable impact. The interviewer asks you to: 1. Whiteb...
Measure Success of New B2B Product
Measuring Success of a New LinkedIn B2B Product A new LinkedIn B2B product has launched. Leadership wants to understand whether it adds value and what...
Improve Profile Completion Rate
Increasing LinkedIn Profile Completion Profile completeness affects members' visibility in search, job matches, recruiter outreach, and trust. Assume ...
Write SQL for rankings, state, and aggregations
This question evaluates a candidate's competency in SQL data manipulation, covering ranking/top-N queries, aggregations and percentage calculations, t...
Design a distributed key-value store
Design a distributed key-value store Design a Distributed Key–Value Store (Technical Screen) Context You're designing a cloud-native, multi-tenant key...
Assess LinkedIn Newsfeed Health
Evaluating the Health of LinkedIn Newsfeed You are assessing the health of LinkedIn's personalized newsfeed. Assume you can track user-, session-, and...
Analyze Trends to Diagnose Decline in Job Applications
Diagnosing a Week-over-Week Drop in Job Applications A job marketplace observes that daily application count has declined week over week. As the analy...
One of the most comprehensive LinkedIn DS Product Cases!
You are a Data Scientist working on LinkedIn's profile experience. Define, diagnose, and improve profile completion. Answer these questions: 1. How wo...
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...
Measure Relevant Feed Success
This question evaluates a data scientist's competency in product analytics and experimentation, specifically metric definition, A/B test design, inter...
Design a scalable metrics monitoring system
Design a scalable metrics monitoring system Design a Metrics Monitoring System for Large-Scale Services Context You are designing a metrics monitoring...
Test If Initial Video Uploads Are Shorter Than Later Ones
Hypothesis Test: Are Users' First Video Uploads Shorter? You are given event-level data for a video-sharing product. Each record represents a publishe...
LinkedIn Product Case Opportunity Sizing
LinkedIn Product Case: Segmentation, Opportunity Sizing, and Adoption Prediction You are interviewing for a Data Scientist role focused on analytics a...
Compute graph distance and impacted services
This question evaluates proficiency in graph algorithms and traversal (shortest-path/BFS and cycle handling), file-path/tree modeling, dependency grap...
Analyze time and space complexity
Analyze time and space complexity For any algorithm you implement, analyze its time and space complexity using Big-O notation. Derive and justify the ...
Can You Place N Objects?
This question evaluates array traversal, adjacency-constraint reasoning, and greedy placement intuition, emphasizing handling of boundary conditions a...
Describe challenging teamwork and feedback handling
Describe challenging teamwork and feedback handling Behavioral Interview Prompts (Software Engineer, Onsite) Context: You are a software engineer inte...