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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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...
Diagnose a non-significant experiment outcome
A/B Test Interpretation, Power, and Decision-Making Under Asymmetric Loss Context You ran a two-sample A/B test on a primary mean metric (two-sided t-...
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, ...
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...
Design and analyze an A/B test
Experiment Design: Proximity-Weighted Search Ranking A/B Test You are designing a 14-day, 50/50 user-level randomized A/B test for a marketplace's sea...
Decide and experiment on Group Call feature
Assume today is 2025-09-01. You have only one table, calls_daily_agg(date, user_id, country, device_tier, one_to_one_calls_started, one_to_one_call_du...
Test two models' proportions for significance
Two search models, A and B, were each used once by 100 distinct users (one query per user). Success is defined per query by your composite metric (suc...
Evaluate Facebook Dating launch and validate success
Validation Plan: Scaling Facebook Dating from Pilot to Broader Rollout Context: You are a data scientist evaluating whether a limited-market pilot of ...
Diagnose sudden KPI drop with segmentation
Production Incident: 10% Drop in Daily Likes (DAU Flat) on 2025-09-01 You are investigating a 10% day-over-day drop in daily Like actions on a global ...
Diagnose a sudden KPI drop and validate causes
A core KPI (comments_per_DAU) suddenly drops materially. Outline a structured root-cause analysis and validation plan. a) Scoping and sanity: Quantify...
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...
Analyze skewed comments and sampling effects
Right‑Skewed Daily Comments: Location Stats and Sampling Distributions You’re analyzing daily user comments per user, which are right‑skewed count dat...
Demonstrate leadership under ambiguity
Behavioral & Leadership Prompt (Data Scientist) Describe one high-stakes project where priorities changed mid-stream and you had to influence without ...
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 ...
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. ...
Resolve exclusion, learn fast, and manage conflict
Behavioral & Leadership Onsite — Cross-Team Inclusion, Fast Learning, Analytical Conflict Context You are a data scientist working cross-functionally ...
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...
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 ...
How to answer Staff (L6) behavioral interview questions
Staff / L6 “” org-level impact * * - Scope & Impact/// - StakeholdersEM/PM/Infra/Product/ Staff - Options & Trade-offs 2–3 - Influence without Aut...