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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Easy
Software Engineer

Design a time-versioned key-value store and find common free time

You are given two coding tasks. Task 1: Time-versioned key-value store Design an in-memory data structure that supports: - set(key, value, timestamp):...

Coding & Algorithms
4
0
32 people solved
Nov 12, 2025
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Meta
Medium
Software Engineer Locked

Implement several string, tree, and BFS problems

This multi-part problem evaluates proficiency with core data structures and algorithms: binary tree traversal with column-aligned output, string parsi...

Coding & Algorithms
6
0
50 people solved
Oct 30, 2025
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Medium
Software Engineer

Find shortest subarray with range ≥ k

Problem You are given an integer array nums of length n and an integer k. Define the range of a subarray as: \[ \max(\text{subarray}) - \min(\text{sub...

Coding & Algorithms
3
0
34 people solved
Oct 23, 2025
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Hard
Software Engineer

Solve common array/string/linked-list tasks

You may be asked one or more of the following independent coding tasks. For each task, implement an efficient algorithm and clearly state time/space c...

Coding & Algorithms
5
0
46 people solved
Oct 21, 2025
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Medium
Software Engineer

Design structure for top-K frequent elements

You are working with a large collection of items represented by integer IDs (e.g., product IDs, user IDs, etc.). Updates and queries arrive over time....

Coding & Algorithms
3
0
51 people solved
Oct 21, 2025
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Medium
Software Engineer

Find shortest substring with N unique characters

You are given a string s and an integer n. Find the shortest contiguous substring of s that contains exactly n distinct characters. If there is no suc...

Coding & Algorithms
3
0
40 people solved
Oct 21, 2025
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Meta
Medium
Machine Learning Engineer

Implement bounds, minimum, pathfinding, and moving average

Solve the following data-structures problems: ( 1) Given two sorted integer lists A and B, merge them into a single non-decreasing array. Then, for a ...

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

Merge two sorted arrays in-place

You are given two nondecreasing arrays A and B, where A has enough trailing empty slots to hold all elements of B. Merge B into A in-place so that A r...

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

Find shortest path and compare BFS vs DFS

Given an unweighted graph (directed or undirected), explain how to find the shortest path between two nodes without writing code. Describe the algorit...

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

Solve four data structure and algorithms tasks

1) Print the numbers at each level of a binary tree. Given the root, output the values level-by-level (each level on a new line or as a list of lists)...

Coding & Algorithms
4
0
38 people solved
Sep 6, 2025
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Medium
Software Engineer

Compute max profit from single stock trade

Given an array prices where prices[i] is the stock price on day i, compute the maximum profit achievable with at most one transaction (one buy and one...

Coding & Algorithms
1
0
23 people solved
Sep 6, 2025
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Medium
Software Engineer

Implement string dedup and mirror tree traversal

- String cleanup with group deletions (LeetCode-inspired): Given a string s consisting of lowercase letters, repeatedly delete any maximal contiguous ...

Coding & Algorithms
1
0
27 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Compute longest rising path in a grid

Given an m×n grid of integers, find the length of the longest path where each step moves up, down, left, or right to a strictly larger value. Return t...

Coding & Algorithms
3
0
43 people solved
Sep 6, 2025
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Medium
Software Engineer

Optimize flight costs and find grid path

1) Given two integer arrays D and R of equal length n, where D[i] is the cost to depart on day i and R[j] is the cost to return on day j, choose indic...

Coding & Algorithms
4
0
31 people solved
Sep 6, 2025
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Medium
Software Engineer

Navigate unknown maze to find target

You are given an exploration interface for an unknown 2D maze that exposes only local actions (e.g., move(up/down/left/right) -> bool indicating succe...

Coding & Algorithms
2
0
34 people solved
Sep 6, 2025
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Medium
Software Engineer

Solve parsing, counting, ranges, and window problems

Solve the following four algorithm problems: 1) Expression evaluator with + and : Given a string s containing non-negative integers, '+' and '' operat...

Coding & Algorithms
2
0
27 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Reverse sublist between equal-value nodes

Given the head of a singly linked list and a target value v that appears at least twice, reverse the sublist starting at the first node with value v a...

Coding & Algorithms
4
0
39 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Count subarrays summing to target

Given an integer array nums and an integer target T, return the number of contiguous subarrays whose sum equals T. Provide an algorithm that runs in l...

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

Return k smallest elements using heap

Given an unsorted array nums of up to 1,000,000 integers and an integer k (1 <= k <= nums.length), return the k smallest elements in ascending order. ...

Coding & Algorithms
5
0
46 people solved
Sep 6, 2025
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Meta
Medium
Machine Learning Engineer

Maximize one stock trade profit

You're given an array prices of length n where prices[i] is the stock price on day i. You may complete at most one transaction (buy once, then sell la...

Coding & Algorithms
2
0
34 people solved
Sep 6, 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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