Meta Behavioral & Leadership Interview Questions
Practice 1,166 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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Design a live video comments system
This question evaluates skills in designing scalable, low-latency real-time systems, covering fan-out delivery, ordering and consistency semantics, du...
Extend a BFS maze solver stepwise
This question evaluates proficiency in grid-based graph traversal and pathfinding, covering BFS mechanics, stateful reachability with keys and doors, ...
Solve maze tasks and compute shortest routes
This multi-part question evaluates proficiency in grid-based pathfinding and shortest-path reasoning, debugging and incremental code extension, handli...
Compute sparse dot product and count islands
You are asked to solve two coding problems. Problem 1: Sparse vector dot product Given two vectors A and B of the same length n (potentially large, e....
Resolve cross-functional conflicts using analytics results
Answer the following behavioral prompts for a data science/product analytics role working cross-functionally (PM, Eng, Ads/Sales): 1) Describe a time ...
Propose an ads recommendation model for shop ads
You need to propose a modeling approach for recommending/ranking shop ads (i.e., which shop ads to show and in what order) for a marketplace app. Desc...
Design an A/B test for a new shop-ads algorithm
A new ranking/promotion algorithm will change which shop ads are shown (and their order). You are asked: “How do we know if this new algo is good?” De...
Design bot detection and evaluate trade-offs
Bot-Detection System Design for Comment Activity Context You are designing and evaluating a machine learning system to detect automated (bot) comment ...
Design analysis to test social vs game engagement
Question Hypothesis: Among Oculus (Meta Quest) users, those who use social features are more regularly engaged than those who use game features. Using...
Build a model to infer home vs office vs public
You must infer whether a Facebook session’s network context is home, office, or public venue to inform Portal targeting. Constraints: IPs may be share...
Compute sample size and test duration
You will run a two-arm A/B test on a signup funnel. Given: baseline conversion p0 = 4.0%; you care about detecting a 10% relative uplift (p1 = 4.4%); ...
Describe leading through stakeholder conflict and ambiguity
Describe a time you had to push back on a senior stakeholder to stop a rushed launch of a metric/report or experiment you believed was invalid. Includ...
Model comment count distribution and validate assumptions
You observe daily comment counts per post on a large social app are highly skewed with many zeros. a) Choose an appropriate discrete model among Poiss...
Choose alternatives when randomization fails
Causal Impact of an Autoloaded Feature Without Clean Randomization Context You need to estimate the causal effect of a new autoloaded feature that is ...
Reduce variance with covariate adjustment
Experiment Design and CUPED/Regression Adjustment You are running a randomized A/B test with outcome Y. You also have a pre-period covariate X (measur...
Design and analyze A/B test with interference
You must ship a News Feed ranking change where content produced by treated users can be seen by control users, creating interference and within-user c...
Compute cohort GMV and payer rate with edge cases
You are given the following schema (timestamps are UTC): users(user_id INT, country STRING, created_at TIMESTAMP) events(user_id INT, event_ts TIMESTA...
Explain why LASSO selects features
Explain why LASSO performs feature selection. Provide: 1) high-level intuition comparing L1 vs. L2 penalties; 2) geometric interpretation of the const...
Demonstrate ownership beyond responsibilities
Describe a time you proactively took on work outside your defined responsibility to deliver a measurable business outcome. Include: 1) context, stakes...
Explain background, team structure, and role fit
Answer the following in order: 1) Give a crisp 90‑second self‑introduction tailored to this role, emphasizing 1–2 quantifiable achievements most relev...