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.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"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."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"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."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"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."
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...
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...
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...
How would you evaluate Pixel issue alerts?
Meta is considering a new advertiser-facing ad management feature. When the system detects that an advertiser's Ads Pixel may be misconfigured or send...
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...
Compute CTR for peak vs non-peak hours
This question evaluates a candidate's ability to compute time-based click-through rate metrics using SQL and data manipulation techniques, including j...
Compute this-year spend share of last-year whales
This question evaluates proficiency in data manipulation and analytics engineering, specifically SQL and Python skills for aggregations, joins, calend...
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...
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...
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...
Debug and optimize a card-drawing strategy
This question evaluates debugging and implementation skills, combinatorial search and optimization, and the ability to design and interpret simulation...
Design a recommendation system from scratch
This question evaluates expertise in recommender systems and related competencies including machine learning-based candidate generation and ranking, d...
Design a Coding Contest Platform
Design an online coding contest platform that supports programming competitions, code submission, automated judging, and live leaderboards. The platfo...
Write SQL for multi-account metrics
This question evaluates proficiency in SQL for multi-table aggregation, grouping, joins, and conditional counting within a user-account-notification s...
Analyze advertiser spend by source
This question evaluates proficiency in data manipulation and analytics using SQL or Python, testing skills such as joins, time-based filtering, cohort...
How would you design Shop-ad ranking?
Suppose the previous experiment shows that, in some contexts, users are more likely to convert when shown an ad that leads to an in-app Shop rather th...
Describe conflict where you yielded to others
Describe a time you had a conflict or strong disagreement at work, but ultimately decided to follow someone else’s approach instead of your own. In yo...
Explain your main growth area
What is one of your main growth or development areas right now? Explain: - What specific skill or behavior you are working to improve. - How you ident...
Share different perspective from leadership feedback
Describe a time when you received feedback from a manager or senior leader that gave you a different perspective on a situation or project. Explain: -...
Design an A/B test for a new shop-ads algorithm
A new ranking/promotion algorithm will change which shop ads are shown (and their order). You are asked: “How do we know if this new algo is good?” De...