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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"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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"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
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Model session times and comments with exponential/Poisson
Session Duration Memoryless Assumption and Poisson Comment Counts Setup - We model user session end times with a constant hazard (memoryless) over tim...
Compute and correct correlation significance inflation
This question evaluates statistical inference for correlations, multiple testing control (false discovery rate), power and sample-size calculations, a...
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,...
Lead a product deep dive with quantified impact
Behavioral Product Leadership Prompt (Data Scientist) You are interviewing for a Data Scientist role with a strong focus on product analytics, experim...
Design a restaurant recommender under cold start
Design a Multi-Objective Restaurant Ranking System You own the restaurant recommendation surface for a city app. The goal is to rank nearby restaurant...
Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment
Question You are given two event tables, info_stream_views (one row per viewer–post view, with viewer_id, post_id, relationship ∈ {friend, unconnected...
Evaluate emoji reactions launch
A messaging app plans to introduce an emoji reaction feature: users can long-press a message for 5 seconds and attach an emoji instead of sending a te...
Solve palindrome-check and vertical-order traversal
You are asked to solve two separate coding questions. You do not need to run code; be prepared to explain your approach and walk through examples. Que...
Design a System to Recommend Local Restaurant Profiles
Design a System to Recommend Local Restaurant Profiles Recommending Local Restaurant Pages in the News Feed Context Design a non-ads recommendation sy...
Determine Probability of Fourth Good Response After Three Successes
Determine Probability of Fourth Good Response After Three Successes Evaluating Good-Response Rates for Chatbot Outputs Context You are evaluating chat...
Calculate and Compare Survey Response Rates for User Tenure
Surveys +--------+------------+--------------+----------+ | userid | date | survey_event | response | +--------+------------+--------------+----...
Investigate Causes of Decline in Facebook Group Comments
Investigate Causes of Decline in Facebook Group Comments Scenario A sharp decline in Comments per Post (CPP) was observed in Facebook Groups last week...
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...
Design an A/B Test for Group Video Calls Impact
Design an A/B Test for Group Video Calls Impact A/B Experiment Design: Group Video Calls on Instagram Scenario Instagram wants to evaluate the impact ...
Describe Overcoming Ambiguity and Building Cross-Team Collaboration
Describe Overcoming Ambiguity and Building Cross-Team Collaboration Behavioral & Leadership Interview — Senior Data Scientist (IC5) Context You are in...
Design an Experiment to Evaluate New ML Model
Design an Experiment to Evaluate New ML Model Experiment Design: Validating a New Ads Ranking Model Context You operate an ads platform with an existi...
Measure Harmful Content Impact with Key Metrics
Measure Harmful Content Impact with Key Metrics Scenario A social-media platform needs to quantify how serious harmful or inappropriate user-generated...
Promote Inclusion and Overcome Barriers in Social-Commerce Team
Promote Inclusion and Overcome Barriers in Social-Commerce Team Behavioral Interview: Barriers, Feedback, and Inclusion (Data Scientist — Social Comme...
Identify Fake Accounts Using Machine Learning Techniques
Identify Fake Accounts Using Machine Learning Techniques Scenario You are a data scientist at Meta. Fake accounts (bots, spam, scams, impersonation, c...
Evaluate Probability of Positive User Comments and Model Performance
Evaluate Probability of Positive User Comments and Model Performance Social-Media Positivity: Independence and Model Comparison Context You are evalua...