Meta Interview Questions

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.

1.2k Questions 1 Company07.06.2026
Showing 20 results
Role
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Medium
Software Engineer

Check Palindrome and Add Decimal Strings

Question LeetCode 266. Palindrome Permutation – Given a string, determine whether any permutation can form a palindrome. Follow-up: If a palindrome pe...

Coding & Algorithms
24
0
66 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Solve LeetCode stack and tree problems

Question LeetCode 1249. Minimum Remove to Make Valid Parentheses LeetCode 863. All Nodes Distance K in Binary Tree https://leetcode.com/problems/minim...

Coding & Algorithms
15
0
47 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Solve LeetCode array & stream problems

Question LeetCode 346. Moving Average from Data Stream LeetCode 249. Group Shifted Strings LeetCode 163. Missing Ranges Remove duplicates from a chara...

Coding & Algorithms
19
0
60 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Find closest BST value and remove parentheses

Question LeetCode 270. Closest Binary Search Tree Value LeetCode 1249. Minimum Remove to Make Valid Parentheses (follow-up: achieve without using a st...

Coding & Algorithms
13
0
55 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Solve vertical order & diameter variants

Question LeetCode 314. Binary Tree Vertical Order Traversal LeetCode 543. Diameter of Binary Tree – modified to return the number of nodes (edges + 1)...

Coding & Algorithms
1
0
4 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Solve classic LeetCode problems

Question LeetCode 215. Kth Largest Element in an Array LeetCode 249. Group Shifted Strings Variant of LeetCode 56. Merge Intervals extended to 2-D rec...

Coding & Algorithms
7
0
34 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Design prefix-sum function and max stack

Question LeetCode 303. Range Sum Query – Immutable (design a reusable prefix-sum function) LeetCode 716. Max Stack (similar design question) https://l...

Coding & Algorithms
4
0
15 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Compare two string linked lists

Question Given two singly linked lists where each node stores one character as a string, determine whether the sequences of characters represented by ...

Coding & Algorithms
7
0
20 people solved
Jul 29, 2025
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Meta
Medium
Software Engineer

Compute product of array except self

Given an integer array nums, return an array out where out[i] equals the product of all elements in nums except nums[i]. Do it in O(n) time using cons...

Coding & Algorithms
2
0
22 people solved
Jul 29, 2025
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Meta
Medium
Data Scientist

Find posts with >60s unconnected viewing time

Context You work on a social app where users can view posts. A view can be from a connected user (viewer is friends/connected with the post author) or...

Data Manipulation (SQL/Python)
3
1
58 people solved
Jul 28, 2025
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Meta
Medium
Software Engineer

Traverse levels selecting nodes meeting a predicate

Traverse levels selecting nodes meeting a predicate Given the root of a binary tree and a predicate P(value) that returns true for certain node values...

Coding & Algorithms
2
0
17 people solved
Jul 27, 2025
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Meta
Medium
Software Engineer

Compute longest increasing path in a matrix

Compute longest increasing path in a matrix Given an m × n integer matrix, return the length of the longest path of strictly increasing values, where ...

Coding & Algorithms
1
0
26 people solved
Jul 27, 2025
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Meta
Medium
Software Engineer

Find k most frequent elements, discuss O(n)

Find k most frequent elements, discuss O(n) Given an integer array nums of length n and an integer k (where 1 ≤ k ≤ the number of distinct values in n...

Coding & Algorithms
4
0
33 people solved
Jul 27, 2025
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Meta
Medium
Software Engineer

Evaluate expression without stack, constant space

Evaluate expression without stack, constant space Given a string s representing a valid arithmetic expression of non-negative integers, the operators ...

Coding & Algorithms
2
0
38 people solved
Jul 27, 2025
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Meta
Medium
Software Engineer

Produce asymmetric side views of a binary tree

Produce asymmetric side views of a binary tree Given a binary tree, output two sequences: ( 1) Left-bottom-up view: for each depth, the first node vis...

Coding & Algorithms
2
0
43 people solved
Jul 26, 2025
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Meta
Medium
Software Engineer

Remove adjacent duplicate groups repeatedly

Remove adjacent duplicate groups repeatedly Given a string s, repeatedly delete any maximal contiguous group of identical characters whose length is a...

Coding & Algorithms
3
0
37 people solved
Jul 26, 2025
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Meta
Medium
Software Engineer

Implement range-sum tree and sort merged lists

Implement range-sum tree and sort merged lists 1) Given a binary tree whose nodes store integer values, and two integers low and high defining an incl...

Coding & Algorithms
4
0
38 people solved
Jul 16, 2025
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Meta
Medium
Data Engineer

Write SQL for library analytics

Given a library database, write SQL to answer the following: 1) Count the number of books that are currently not returned (i.e., still checked out) an...

Data Manipulation (SQL/Python)
1
0
14 people solved
Jul 16, 2025
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Meta
Medium
Data Engineer

Write SQL and Python for data prep

Given clickstream events (user_id, event_type, ts, properties) and a users table (user_id, signup_ts, plan), write SQL to compute DAU/WAU/MAU, D1/W1 r...

Data Manipulation (SQL/Python)
1
1
8 people solved
Jul 15, 2025
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Meta
Medium
Software Engineer

Implement weighted random index picker

Implement weighted random index picker Design a class WeightedPicker that is initialized with an array of positive integer weights w and supports pick...

Coding & Algorithms
2
0
24 people solved
Jul 15, 2025

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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