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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"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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"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."
Design a Location Recommendation System
This question evaluates a candidate's ability to design end-to-end machine learning recommendation systems, covering competencies in candidate generat...
Compute ad revenue metrics by geography in SQL
You work on a marketplace app that shows shop ads. You are given the following tables. Assumptions - All timestamps are stored in UTC. - “Revenue” is ...
Design bot detection and evaluate trade-offs
Bot-Detection System Design for Comment Activity Context You are designing and evaluating a machine learning system to detect automated (bot) comment ...
Detect leakage and evaluate a prediction model
Churn Prediction Model: Leakage, Validation, KPIs, Interpretation, Monitoring Context: You inherit a weekly-scored model that predicts whether a user ...
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 ...
Decide under adverse signals and conflicts
Scenario: Pre-Launch Decision Under Mixed Signals You are preparing to launch a new messaging/notifications feature. Leading indicators are mixed: som...
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...
Write SQL for car rental utilization by city
SQL / Data Query Prompt (Car Rental) You are given four tables: user - user_id location - location_id - city car - car_id - car_size (e.g., compact, m...
Troubleshoot a single-node web outage
This question evaluates operational troubleshooting, root-cause analysis, and resilience design skills for a single-node web server, testing a candida...
Design an ads ranking system with calibration
This question evaluates a candidate's ability to design scalable, low-latency online machine learning systems for ads ranking, covering competencies i...
Should WhatsApp launch group calls?
This question evaluates a data scientist's skills in experiment design, product analytics, metric definition, causal inference, and managing network e...
Which clustering algorithm would you use and why
Question You need to cluster users for a social product (e.g. Meta) to discover meaningful groups such as communities, interest groups, or usage segme...
Implement list cloning and k-frequency finder
You are given two separate coding tasks. --- Problem 1: Deep copy a linked list with extra pointers You are given the head of a singly linked list. Ea...
Analyze DoorDash marketplace product decisions
You are a product-focused data scientist at DoorDash. Discuss how you would approach the following three product analytics and experimentation problem...
Design a Trade Ledger Class
This question evaluates the ability to design class interfaces, choose and justify data structures for ordered storage, and reason about sorting behav...
Handle feedback, change pivots, and conflict
Question In the behavioral portion of the Meta Data Scientist screen, answer the following leadership prompts using concrete examples from your own wo...
Walk through a resume deep dive
Behavioral Deep Dive: Most Impactful Infrastructure Project Context You are interviewing for a Software Engineer role. The interviewer will ask you to...
Solve Maze and Suffix Problems
Solve the following two coding problems. Problem A: Find the shortest path through a maze with keys and doors You are given a 2D grid representing a m...
Design an image copyright-violation detection system
This question evaluates competency in designing scalable machine learning systems for image copyright detection, testing knowledge across computer vis...
Design measurement to detect fake accounts
Context You work on a social platform. The only product surface you can rely on is friend requests (sending/receiving/accepting/declining). Assume you...