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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Validate needs and benchmark competitor adoption
Research Plan: Validate User Needs and Benchmark Competitors' Adoption of Group Calling You are designing a research plan for a consumer communication...
Choose group-call size cap via experiment
Decide the Maximum Participants per Group Call: Experiment Plan Context: You need to choose a default cap for group calls (maximum concurrent particip...
Choose tests and solve distribution parameters
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Justify EU B2B Chat Product Strategy
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Design an A/B test for comments UI
This question evaluates experimental design, causal inference, statistical power calculation, variance-reduction techniques, sequential monitoring, an...
Compute conditional occupancy across two rooms
Probability and Bayes Update: Two Rooms Setup There are two rooms. Prior over occupancy states: - With probability 1/3: both rooms are occupied. - Wit...
Handle sales pressure with analytical integrity
Interview Scenario: Call Volume vs. Win Rate — Causation vs. Correlation You support Sales as a data scientist. Leadership observed a positive correla...
Diagnose sales correlations without claiming causality
This question evaluates a data scientist's competency in designing correlation-focused observational analyses, including exposure-window definition, c...
Evaluate fraud classifier with cost-sensitive metrics
Binary Fraud Classifier: Metrics, Thresholding, Calibration, and Online Evaluation You inherit a binary fraud classifier used to decide whether to blo...
Justify building a new feature with evidence
Case Prompt: 10-Minute Go/No-Go Recommendation for a New Feature You are the data science lead supporting a large-scale consumer messaging product. Yo...
Estimate CTR lift with binomial tests and errors
A/B Test Inference, Peeking, and Multiple Comparisons You run a two-arm A/B test of click-through rate (CTR). - Control: n_c = 10,000,000 impressions,...
Design A/B test and success metrics for new feature
Instagram Collections 2.0 — Define Success, Experiment Design, and Measurement Context: You are proposing a new Instagram feature, Shareable Collectio...
Learn complex topic fast under deadline
Behavioral Prompt: Rapid Ramp-Up on a New Analytical Framework You had to learn a new analytical framework in under a week to deliver a high-stakes re...
Resolve teammate feeling unwelcome with measurable steps
Behavioral Scenario: Psychological Safety Concern Within a Subgroup You are a senior individual contributor or team lead on a remote-first data team. ...
Compute multi-account actives and unread coverage
You have two tables. Table: notifications +--------+------------+------------+-------------------+--------+ | userid | ds | time | notification_type |...
Compute feed ad frequency and retention in SQL
Assume today is 2025-09-01. Schema and tiny samples: feed_impressions(impression_id, user_id, impression_time, content_type, feed_position, session_id...
Model comment counts and detect anomalies
Modeling Heavy-Tailed Comment Counts and Robust Monitoring You are analyzing daily comment counts at the post–day level. The distribution is heavy-tai...
Optimize IG Shopping ranking with multiple objectives
Instagram Shopping: Multi-Objective Ranking With Fairness, Fraud Robustness, and On-Device Constraints You are designing the Instagram Shopping home f...
Design an A/B test for WFH filter
A/B Test Design: Optional "Work From Home" Filter on Search Page You are designing an online controlled experiment for a marketplace search page that ...
Compute view prevalence from views and labels
Given the tables below, write SQL to compute view prevalence of violating content. Use “today” = 2025-09-01 and report the last 7 days (2025-08-26 to ...