Meta Coding & Algorithms Interview Questions

Preparing for Meta Coding & Algorithms interview questions requires focusing on algorithmic problem solving, writing production-minded code, and communicating tradeoffs under time

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

Return Binary Tree Nodes in Vertical Order

Return Binary Tree Nodes in Vertical Order A binary tree has nodes numbered from 0 through n - 1, with node 0 as the root. Arrays left and right conta...

Coding & Algorithms
0
0
12 people solved
Mar 2, 2026
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Meta
Medium
Software Engineer

Merge Three Sorted Arrays Without Duplicates

Merge Three Sorted Arrays Without Duplicates You are given three integer arrays sorted in nondecreasing order. Merge them into one sorted array that c...

Coding & Algorithms
0
0
11 people solved
Mar 2, 2026
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Meta
Medium
Software Engineer Locked

Return right and left side views of a tree

This question evaluates understanding of binary tree data structures and the competency to identify side views by reasoning about which node is visibl...

Coding & Algorithms
4
0
39 people solved
Jan 5, 2026
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Meta
Medium
Software Engineer

Find balanced subarray and increasing tree path

You are given two coding problems. Problem 1: Longest balanced subarray (0/1) Given an integer array nums of length n where each element is either 0 o...

Coding & Algorithms
6
0
64 people solved
Nov 2, 2025
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Meta
Easy
Software Engineer Locked

Compute Range Sum Quickly

This question evaluates a candidate's understanding of range-sum queries, array preprocessing techniques and algorithmic complexity for answering mult...

Coding & Algorithms
3
0
49 people solved
Feb 18, 2026
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Meta
Hard
Software Engineer AI

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
36
0
292 people solved
Apr 27, 2026
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Meta
Medium
Machine Learning Engineer Locked

Solve array merge, tree view, and maze tasks

This question evaluates array manipulation and in-place algorithms, binary tree traversal and visibility reasoning, and grid graph traversal for path ...

Coding & Algorithms
3
0
38 people solved
Dec 9, 2025
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Meta
Medium
Data Scientist

Identify trees, lists, and array search costs

Answer all parts concisely and justify time complexities. a) A data model requires each node to have at most two children and a single parent. Name th...

Coding & Algorithms
6
0
57 people solved
Oct 13, 2025
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Meta
Medium
Machine Learning Engineer AI Locked

Extend a Maze Solver

This question evaluates proficiency in implementing and debugging graph search algorithms and state-space modeling, including correct visited-state ha...

Coding & Algorithms
3
0
34 people solved
Feb 8, 2026
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Meta
Medium
Software Engineer

Solve four algorithmic problems

Solve the following coding tasks. For each, describe your approach, complexity, and handle edge cases. 1) Make parentheses string valid with minimal d...

Coding & Algorithms
6
0
51 people solved
Oct 12, 2025
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Meta
Medium
Machine Learning Engineer

Solve matrix diagonal and sliding-window statistics

Solve matrix diagonal and sliding-window statistics 1) Given an m x n integer matrix, determine whether every top-left to bottom-right diagonal has th...

Coding & Algorithms
4
0
74 people solved
Jul 31, 2025
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Meta
Hard
Software EngineerSenior+

Solve Subarray Sum and Local Minimum

Two coding problems were reported in the same phone-screen round: 1. Count target-sum subarrays. Given an integer array nums and an integer k, return ...

Coding & Algorithms
5
0
40 people solved
Apr 15, 2026
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Meta
Medium
Machine Learning Engineer Locked

Implement LRU cache and copy random list

This question evaluates competency in data-structure design, pointer and memory management, and hashing-based eviction policies by combining a deep-co...

Coding & Algorithms
6
0
47 people solved
Jan 21, 2026
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Meta
Medium
Machine Learning Engineer

Generate unique permutations with duplicates

Given an array of integers that may contain duplicates, generate all unique permutations. Ensure no duplicate permutations are returned even if some v...

Coding & Algorithms
7
0
56 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Find mode or minimum with time-space tradeoffs

For an unsorted array of integers, implement two functions: ( 1) return the minimum value; ( 2) return the value that appears most frequently (the mod...

Coding & Algorithms
5
0
37 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Clone list with random pointers

Question You are given the head of a singly linked list where each node has two pointers: next and random. The random pointer may be null or point to ...

Coding & Algorithms
3
0
46 people solved
Sep 6, 2025
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Meta
Medium
Machine Learning Engineer

Detect cycles and order with DFS

You are given a directed graph of package dependencies represented as an adjacency list: Map<String, List<String>> deps where deps[p] lists packages t...

Coding & Algorithms
5
0
61 people solved
Sep 6, 2025
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Meta
Medium
Backend Engineer AI Locked

Solve coding and AI-assisted tasks

This set evaluates algorithmic problem-solving across arrays, immutable linked-list interfaces, parent-pointer tree traversal, string validity via min...

Coding & Algorithms
8
0
66 people solved
Apr 8, 2026
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Meta
Hard
Software Engineer AI Locked

Implement a Timestamped Banking System

This question evaluates the ability to design and implement an in-memory, time-ordered stateful system handling event scheduling, transactional update...

Coding & Algorithms
3
0
35 people solved
Apr 8, 2026
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Meta
Medium
Software Engineer

Solve sliding window and tree BFS

Solve sliding window and tree BFS Solve a typical medium-level sliding-window problem (e.g., longest substring without repeating characters). LeetCode...

Coding & Algorithms
5
0
51 people solved
Aug 4, 2025

Frequently Asked Questions

How difficult are Meta Coding & Algorithms interview questions?
Meta Coding & Algorithms questions are typically rated medium to hard and often grow tougher as you progress through rounds. Early screens usually aim to confirm correct problem solving and implementation ability, while onsite interviews expect robust algorithmic thinking, time and space optimality, and clear communication under pressure. Interviewers evaluate how you approach unfamiliar problems, move from brute force to optimized solutions, handle edge cases, and articulate complexity trade‑offs. Preparation should target speed, pattern recognition, and producing clean, testable code that can be reasoned about aloud during the interview.
Where in Meta's interview process do Coding & Algorithms questions appear, and how are they evaluated?
Coding and algorithms questions commonly appear in phone screens, technical online assessments, and the core onsite/virtual loop; they may be mixed with product or design conversations depending on role. Evaluations focus on problem decomposition, correctness, algorithmic efficiency, and code quality. Interviewers listen for clear problem statements, thoughtful trade‑offs, and how you validate solutions against edge cases and constraints. For more senior roles, emphasis shifts to selecting the right abstractions and reasoning about large inputs and performance. Communication, testing, and the ability to iterate from a simple approach to an optimized one are all part of the score.
How should I plan my interview preparation timeline for Meta Coding & Algorithms roles?
A disciplined timeline usually spans six to twelve weeks depending on experience and starting point. Begin with two to three weeks of fundamentals: solidify data structures, complexity analysis, and core algorithms. Follow with four to six weeks of focused practice on medium and hard problems, rotating topics and timing yourself, while documenting patterns and common mistakes. In the final two weeks, emphasize mock interviews, timed coding rounds, and refining communication and testing habits. Regularly review incorrect solutions to identify recurring gaps, and incorporate at least a few live mock interviews to habituate speaking through your thought process.
What key subtopics within Coding & Algorithms should I focus on for Meta interviews?
Concentrate on arrays and strings, trees and graphs (including BFS/DFS), hash maps, two‑pointer and sliding window techniques, recursion and backtracking, dynamic programming, and sorting/search algorithms. Also prepare on complexity analysis, space‑time tradeoffs, handling NULLs and edge cases, and writing robust test cases. For higher levels, emphasize understanding of algorithmic scalability, memory layout implications, and performance tuning. Equally important are clear coding style, readable variable names, and the ability to explain why a chosen data structure or algorithm best fits the constraints of the problem.
What standout tips, common pitfalls, and final advice for Coding & Algorithms interviews at Meta?
Start each problem by asking clarifying questions and describing a brute‑force approach before optimizing. Verbally outline your plan, write clean code with basic tests, and explain complexity at the end. Common pitfalls include diving into coding without validating edge cases, ignoring constraints, and failing to communicate assumptions. Avoid overfitting to memorized problems; instead, internalize patterns so you can adapt. Use mock interviews to sharpen pacing and feedback. Finally, remain calm if stuck: state hypotheses, try small examples, and iterate—interviewers value structured thinking and recoveries as much as perfect first attempts.

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