Meta System Design Interview Questions
Practice 1,159 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable impact.
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"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
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"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
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Describe teamwork and stress handling
Describe teamwork and stress handling This Meta Software Engineer behavioral question asks you to demonstrate, with concrete examples, how you collabo...
How would you measure Group Call success?
You are interviewing for a Data Scientist role at a social communication product similar to Meta. The team asks you to evaluate a Group Call feature t...
Identify Probability of Request Originating from Bad User
Identify Probability of Request Originating from Bad User Measuring Abuse in Friend-Requests: Bayes, Identification, and Precision Scenario A social-n...
Construct a 95% Confidence Interval for Comment Counts
Construct a 95% Confidence Interval for Comment Counts Comment Activity Analysis: Mean CI, Sampling Distribution, and 95th Percentile Context You have...
Define Success Metrics for Circle Feature Evaluation
Define Success Metrics for Circle Feature Evaluation Scenario Measuring success and allocating resources for a new "Circle" posting feature in a socia...
Evaluate Product-Ranking Algorithm with Precision and Recall Metrics
Evaluate Product-Ranking Algorithm with Precision and Recall Metrics Scenario Instagram Shopping wants to improve its product‑ranking algorithm for th...
Calculate Probability of Honest and Relevant Chatbot Answers
Calculate Probability of Honest and Relevant Chatbot Answers Chatbot Evaluation: Honesty and Relevance Scenario You are evaluating a customer-service ...
Evaluate New Model's Performance Against Existing System
Evaluate New Model's Performance Against Existing System Scenario You are evaluating a new machine-learning model that detects harmful content on a la...
How to decide if users need a new feature
You are a Data Scientist at a social app. The product team proposes a new in-app feature (e.g., a new sharing surface). You have event-level data and ...
Describe learning from a post-interview bug
Describe learning from a post-interview bug Behavioral Prompt: Bug Discovered After a Remote Technical Screen Context You are in a remote technical sc...
Solve matrix diagonal and sliding-window statistics
Solve matrix diagonal and sliding-window statistics 1) Given an m x n integer matrix, determine whether every top-left to bottom-right diagonal has th...
Design LRU cache and pick k closest points
Design LRU cache and pick k closest points 1) Design a fixed-capacity in-memory cache that evicts the least recently used key when full. Support get(k...
Investigate why an advertiser’s spend decreased
This question evaluates a Data Scientist's competency in analytics and experimentation—specifically root-cause analysis of ad spend declines, attribut...
Handle diverse styles and give constructive feedback
Behavioral: Collaboration, diversity, feedback, documentation Answer the following using specific examples from your past experience. 1. Diversity & i...
Compute this-year spend share of last-year whales
This question evaluates proficiency in data manipulation and analytics engineering, specifically SQL and Python skills for aggregations, joins, calend...
Design metrics and experiment for stolen-post detection
Evaluates skills in metrics design, diagnostic analysis, and online experiment methodology within Analytics & Experimentation for a Data Scientist pos...
Design unit tests for grid navigation
Mouse-Maze Controller: Design a Comprehensive Unit Test Suite Context (assumptions to make the task self-contained) Assume we are testing a controller...
Design a recommendation system
System Design: Large-Scale Home-Feed Recommendation System Problem Design a large-scale recommendation system for a consumer app's home feed. Describe...
Solve word count, node, segmentation, stock tasks
You have four tasks: 1) Count words with explicit rules: Given a text document, return the number of words. First define precisely what qualifies as a...
Traverse binary tree by levels with constraints
Given a binary tree and a predicate P(node), perform a level-by-level traversal that collects, for each level, only the nodes whose values satisfy P. ...