Meta 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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"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
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"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
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"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"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."
"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."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
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...
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...
Design experiment for Group Calls with interference
Design an Experiment for Group Calls in a 1:1 Calling App (with Network Interference) You are adding a Group Calls feature to an existing 1:1 calling ...
Define success metrics and guardrails for B2B chat
Define a Success-Measurement Plan for a New EU B2C Chat Subscription You are launching a paid business-to-customer chat subscription in the EU. Design...
Justify EU B2B Chat Product Strategy
Executive Brief Task: EU B2C Customer-Service Chat (Subscription) Context You are asked to prepare a one-page executive brief recommending whether to ...
Compute posterior for accurate-but-rare classifier
Bayes' Theorem: Interpreting Screening Model Predictions Context You are evaluating a binary screening model that flags "bad" users in a population. T...
Derive expected meetings given nonempty room
Zero-Truncated Binomial: Random Room Assignment Setup - There are N rooms labeled 1, 2, ..., N. - K meetings are scheduled; each meeting independently...
Model user-level ad impression allocation
Random Assignment of Ad Impressions to Users Context - There are X distinct users and Y ad impressions (X ≥ 1, Y ≥ 0 integers). - Each impression is i...
Choose group-call participant cap via distribution
Group Call Cap Decision: QoS vs Reach You are deciding whether to cap the maximum number of participants in a group call. You have the past 28-day dis...
Design experiment for unconnected content in feed
Analytics & Experimentation Case: Socialness of Friends vs Unconnected Content Context You work on a personalized feed that shows posts from friends a...
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...
Resolve cross-team conflict and align incentives
Behavioral & Leadership: Cross-Team Conflict With Tight Timeline You are a Data Scientist interviewing for an onsite role. Describe a realistic cross-...
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...
Design and justify unread-accounts pinning experiment
Experiment Design: Pin Unread Accounts at Top of Account Switcher Context You propose a feature for users who own multiple accounts (same person_id): ...
Design metrics and geo A/B for new feature
Marketplace Experiment: Verified Seller Badges Context: You are evaluating a new Marketplace feature, Verified Seller Badges, designed to improve buye...
Manage promotions and project portfolio tradeoffs
Context You manage a 10-person Data Science team operating across multiple locations and time zones. Three senior individual contributors (ICs) are ac...
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 ...
Design a game leaderboard service
This question evaluates a candidate's ability to design scalable, low-latency ranking services, testing competencies in distributed systems, data mode...
Evaluate Marketing Campaign's Click-Through Rate Effectiveness
Evaluate Marketing Campaign's Click-Through Rate Effectiveness Scenario A campaign currently shows a click-through rate (CTR) of 4.2%. Leadership asks...