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Meta Interview Questions

Meta Interview Questions

Practice 1,169 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.

Questions
1.2k
Company
1
Updated
06.02.2026
1.2k Questions 1 Company06.02.2026
PLTCHK testimonial
PLTCHK

"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"

_The_TaNk_ testimonial
_The_TaNk_

"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"

Chris testimonial
ChrisSenior SWE, LinkedIn

"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."

sleepy33 testimonial
sleepy33

"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."

Jake testimonial
JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord testimonial
nuggetlord

"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."

Carlos testimonial
CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes testimonial
boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

Andy testimonial
AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99 testimonial
couchpotato99

"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."

Shruti testimonial
ShrutiData Engineer, Salesforce

"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."

midnightramen testimonial
midnightramen

"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."

Bianca testimonial
BiancaFrontend Eng, Figma

"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."

tambrahm007 testimonial
tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa testimonial
toa

"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."

PLTCHK testimonial
PLTCHK

"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"

_The_TaNk_ testimonial
_The_TaNk_

"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"

Chris testimonial
ChrisSenior SWE, LinkedIn

"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."

sleepy33 testimonial
sleepy33

"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."

Jake testimonial
JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord testimonial
nuggetlord

"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."

Carlos testimonial
CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes testimonial
boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

Andy testimonial
AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99 testimonial
couchpotato99

"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."

Shruti testimonial
ShrutiData Engineer, Salesforce

"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."

midnightramen testimonial
midnightramen

"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."

Bianca testimonial
BiancaFrontend Eng, Figma

"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."

tambrahm007 testimonial
tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa testimonial
toa

"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."

Showing 20 results
Role
Meta logo
Meta
Medium
Data Scientist

Estimate ads ranking revenue impact

You are the data scientist for an ads ranking team. The team has built a new ranking algorithm for feed ads. The new model changes the ordering of ads...

Analytics & Experimentation
36
0
247 people solved
Apr 30, 2026
Meta logo
Meta
Hard
Software Engineer

Solve Two Backtracking Array Problems

You will solve two independent coding problems. For each problem, first discuss edge cases, then implement a correct solution, and finally explain how...

Coding & Algorithms
28
0
237 people solved
Apr 27, 2026
Meta logo
Meta
Medium
Software Engineer

Design Search And Web Crawling Systems

Design the following two large-scale systems. 1. Social-network search: Design a Facebook-like search product that lets users search for people, pages...

System Design
2
0
24 people solved
May 21, 2026
Meta logo
Meta
Medium
Software Engineer

Design an Instagram-Style Social Feed

Design an Instagram-style social media system. Functional requirements: - Users can create posts containing media and captions. - Users can follow oth...

System Design
1
0
21 people solved
May 14, 2026
Meta logo
Meta
Medium
Data Scientist

Measure scheduled posts feature success

Facebook is considering launching a new feature that allows users to schedule a post to be published at a future time. The product hypothesis is that ...

Analytics & Experimentation
7
0
80 people solved
Apr 30, 2026
Meta logo
Meta
Medium
Software Engineer

Solve Tree Columns And Maze Variants

Answer the following coding tasks from the interview. 1. Binary-tree column grouping: Given the root of a binary tree, group node values by vertical c...

Coding & Algorithms
1
0
13 people solved
May 21, 2026
Meta logo
Meta
Medium
Software Engineer

Explain Collaboration, Ambiguity, and Prioritization

Answer the following behavioral interview prompts using concrete examples from past projects: 1. Describe a time you collaborated with other people on...

Behavioral & Leadership
1
0
19 people solved
May 14, 2026
Meta logo
Meta
Hard
Data Scientist

Write SQL for reply-based recipient metrics

You work on a social product and are given two tables. Assumptions (use these unless you state otherwise): - All timestamps are in UTC. - A “reply” is...

Data Manipulation (SQL/Python)
46
2
428 people solved
Mar 5, 2026
Meta logo
Meta
Medium
Data Scientist

Count unconnected posts and reactions

You are analyzing a newly launched feed feature intended to improve engagement by showing more unconnected content. Assume the following tables: - pos...

Data Manipulation (SQL/Python)
20
2
189 people solved
Apr 5, 2026
Meta logo
Meta
Hard
Software Engineer

Design an Online Game Leaderboard

Design the backend system for an online game's leaderboard. The system should support: - Recording player scores from game sessions. - Showing a globa...

System Design
10
0
89 people solved
Apr 27, 2026
Meta logo
Meta
Hard
Software Engineer

Design Top-K, Crawler, and Chess Systems

During a senior software engineering virtual onsite, you are asked three independent traditional system design prompts. For each prompt, clarify requi...

System Design
0
0
4 people solved
Jun 2, 2026
Meta logo
Meta
Medium
Software Engineer

Solve a Key-Door Corridor Maze

AI-assisted coding round. You may use an AI coding assistant, but you are responsible for debugging the implementation and validating the test cases. ...

Coding & Algorithms
0
0
10 people solved
May 14, 2026
Meta logo
Meta
Medium
Software Engineer

Describe Using AI at Work

Describe how you have used AI tools in your day-to-day work. In your answer, explain the business or engineering problem, how AI helped, what safeguar...

Behavioral & Leadership
0
0
9 people solved
May 16, 2026
Meta logo
Meta
Medium
Site Reliability Engineer

Troubleshoot a production server outage

You are the on-call engineer responsible for a production server for the next several days. Discuss how you would approach the following: - How would ...

Software Engineering Fundamentals
13
0
112 people solved
Apr 12, 2026
Meta logo
Meta
Medium
Machine Learning Engineer Locked

Prevent Private Code Leakage in Coding Agents

Meta trains or fine-tunes coding agents using private source-code repositories. These agents may later be used to answer coding questions, generate co...

ML System Design
4
0
67 people solved
Apr 9, 2026
Meta logo
Meta
Medium
Software Engineer

Design an On-Demand Delivery Platform

Design an on-demand local delivery marketplace for restaurants or grocery stores. The platform should support customers browsing merchants, building s...

System Design
0
0
13 people solved
Apr 25, 2026
Meta logo
Meta
Hard
Machine Learning Engineer

Simulate Monster Team Battles

Design and implement a battle simulator. Data model: - Team: a team name and an ordered list of monsters. - Monster: a monster name, a type, current h...

Coding & Algorithms
0
0
4 people solved
May 19, 2026
Meta logo
Meta
Medium
Software Engineer

Design an Online Judge and Live Comments

The onsite included two system design prompts: 1. Design an online judge platform where users submit code for programming problems. The system must su...

System Design
19
0
134 people solved
Apr 8, 2026
Meta logo
Meta
Medium
Software Engineer

Design an Instagram-like Media Feed

Design an Instagram-like photo and video sharing service. Core requirements: - Users can create accounts, follow and unfollow other users, and view pr...

System Design
1
0
11 people solved
Apr 17, 2026
Meta logo
Meta
Easy
Software Engineer

Design an online auction system

Design a scalable online auction service. Users can: - Create an auction (item info, start/end time, reserve price optional). - Place bids while the a...

System Design
10
0
136 people solved
Mar 11, 2026
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Frequently Asked Questions

How difficult are Meta interview questions?
Meta interview questions span a wide difficulty range because they must screen candidates from entry to senior levels across many functions. Expect coding rounds to map to medium-to-hard algorithmic problems that appear in top 100 problem lists for software engineers, and expect data roles to face challenging SQL, experiment diagnosis, and product-analytics problems that require clean metric definitions. Machine learning roles emphasize recommendation and ranking tradeoffs and model complexity, while data engineers encounter large-scale ETL and modeling puzzles. Difficulty scales with level: entry hires see clearer, bounded problems; senior hires face ambiguous tradeoffs and system-wide thinking.
What is Meta's interview process and where do these questions appear?
Meta typically runs a multi-stage process: recruiter screen, one or two technical screens or an online assessment, a full loop of onsite-style interviews, then debrief, committee review, and offer. The full loop mixes coding, system or product design, role-specific technical rounds, and behavioral interviews. Software-engineer candidates spend most time on coding and design; data scientists focus on SQL, experimentation, and product analytics; machine-learning engineers see modeling and recommendation design; data engineers handle SQL, data modeling, and pipeline questions; PMs get product-design and analytics probes. In 2025–2026 some teams pilot AI-enabled coding rounds.
How should I structure a preparation timeline for a Meta interview?
A focused six-week plan works well: weeks one and two cover fundamentals—data structures, algorithms, SQL basics, and experiment design; weeks three and four emphasize timed problem practice, mock phone screens, and role-specific cases (A/B diagnosis for data scientists, model design for MLEs, ETL modeling for data engineers); week five concentrates on system or product design and behavioral storytelling; week six is for full mock loops, timing, and refining communication. Practice with realistic tools, simulate loop pacing, and schedule a debrief after each mock to iterate on clarity, edge-case handling, and time management.
Which technical subtopics are most commonly tested for each role at Meta?
For Data Scientist interviews the recurring technical themes are product-metric definition, diagnosing experiment and spend drops, counting multi-account interactions, SQL for multi-entity metrics, and ranking or recommendation evaluation such as shop ad ranking. Software-engineer questions frequently focus on timestamped state and versioned systems, leaderboards and ranking, maze/graph traversal and tree/array transforms, delimiter and CSV parsing, and scalable search or flight-search style designs. Machine-learning engineers see place and friend recommendation design, sparse-matrix operations, ranking/loss choices, and feed dislike or personalization models. Data engineers repeatedly face entity modeling for feed and booking data, SQL analytics for utilization and reservations, and capacity-aware aggregation challenges.
What standout tips and common pitfalls should I watch for in Meta interviews?
Start interviews by clarifying requirements and expected outputs, then propose measurable success metrics; this prevents misaligned solutions. For coding, think aloud, handle edge cases, state complexity up front, and write a couple of quick tests. In design rounds quantify load, storage, and tradeoffs rather than vague features. Data roles must define metrics, guardrails, and experiment assumptions before jumping to analysis; common pitfalls are ambiguous metric definitions, peeking at tests, and ignoring instrumentation limits. For AI-assisted coding rounds, use the assistant to accelerate boilerplate but validate logic and corner cases yourself. Finish each answer with a concise summary of impact and tradeoffs.

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