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."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
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Identify trees, lists, and array search costs
Answer all parts concisely and justify time complexities. a) A data model requires each node to have at most two children and a single parent. Name th...
Apply reinforcement learning to product decisions
This question evaluates expertise in reinforcement learning and sequential decision-making for product optimization, covering MDP formulation, contras...
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 ...
Handle novelty and residual effects
This question evaluates a data scientist's competency in experiment design and causal inference for online metrics under temporal dynamics, specifical...
Estimate delayed CVR nonparametrically with censored data
Today is 2025-09-01. We need the 14-day conversion rate (CVR14) for impressions served between 2025-08-18 and 2025-09-01, but many conversions occur w...
Contrast OLS, DiD, and PSM assumptions
This question evaluates proficiency in causal inference and econometric methods, specifically the ability to contrast OLS, two-way fixed-effects DiD, ...
Resolve a team conflict decisively
Tell me about a time you resolved a significant conflict within a team under time pressure. Include: 1) the root causes (interests, incentives, commun...
Decide when CTR falls but revenue rises
Ads-Ranking A/B Test: Decision, Decomposition, Diagnostics, and Exec Readout Context You ran a user-level A/B test of a new ads-ranking model. The tre...
Compute p-values, power, and adjust errors
Statistics Interview Task (Onsite) You are evaluating a product experiment and related analytics questions. Answer precisely, showing calculations and...
Design an A/B test for pinned-unread feature
Experiment Design: Evaluating a Pinned-Unread Chat Feature Context You are evaluating a new messaging feature that pins chats with unread messages to ...
Design a hashtag recommender for News Feed
Design: Hashtag Recommendations in the News Feed Context You are adding hashtag recommendations alongside posts in a large social app’s News Feed. The...
Diagnose drop and assess metric change impact
This question evaluates a data scientist's competency in diagnostic analytics, instrumentation validation, causal attribution, experimentation design,...
Analyze DAU comments distribution and resampling
Consider the metric comments_per_DAU (number of comments a daily active user makes in a day). a) Shape: Describe and justify the expected distribution...
Select interest thresholds under skewness and cost
Profit-Optimal Threshold Selection from an Interest Score You have a per-user interest_score s ∈ [0, 1] for a new feature. The score distribution appe...
Navigate reschedules, offers, and team-match uncertainty
Behavioral + Due Diligence + Risk Management (Data Scientist — Onsite) Context You are a Data Scientist candidate approaching an onsite. You are juggl...
Design analytics and experiment for group video calls
Evaluate and Launch Group Video Calls — Product Analytics Plan Context: You are evaluating a new Group Video Call feature in a large-scale consumer me...
Choose tests and solve distribution parameters
Engagement Comparison: New vs Existing Users (2025-08-05 → 2025-09-01) Context: You have per-user daily session counts (integer, skewed, many zeros) f...
Define and analyze new-vs-existing activity
Ambiguous product question: Are existing users more active than new users over the last 28 days (ending today = 2025-09-01)? 1) Propose two reasonable...
Redesign an executive dashboard for C-suite
Redesign a Spaghetti Chart into an Executive Dashboard Context You are handed a single slide for the C‑suite that shows a spaghetti chart of regional ...
Design a restaurant recommender under constraints
This question evaluates a candidate's competency in designing scalable machine learning recommender systems, covering retrieval and ranking architectu...