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
Machine Learning Engineer

Solve Two String Problems

The interview included two coding questions: 1. Exactly one edit apart Given two strings s and t, determine whether they are exactly one edit apart...

Coding & Algorithms
4
0
48 people solved
Apr 12, 2026
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Meta
Medium
Machine Learning Engineer Locked

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...

Coding & Algorithms
21
0
156 people solved
Feb 12, 2026
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Meta
Medium
Software Engineer AI

Extend a Maze Solver

You are given an existing codebase for a maze game and solver. The maze is represented as a 2D grid containing: - S: start cell - T: target cell - .: ...

Coding & Algorithms
4
0
41 people solved
Jan 6, 2026
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Meta
Medium
Software Engineer

Find Any Local Minimum with Iterative Binary Search

Find Any Local Minimum with Iterative Binary Search Given a nonempty integer array numbers, return the index of any local minimum. An index i is a loc...

Coding & Algorithms
0
0
13 people solved
Mar 2, 2026
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Meta
Medium
Data Engineer Locked

Write queries for follows and bookings

This question evaluates the ability to manipulate temporal event logs, enforce bidirectional relational integrity, and implement efficient graph and i...

Coding & Algorithms
25
1
174 people solved
Mar 1, 2026
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Meta
Medium
Software Engineer

Implement an in-memory key-field-value DB with TTL

In-Memory DB with TTL + Scan + Backup/Restore Implement an in-memory database storing records by (key, field) -> value with optional TTL. Data model /...

Coding & Algorithms
10
0
130 people solved
Feb 11, 2026
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Meta
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
Hard
Machine Learning EngineerSenior+ AI Locked

Find Maximum Unique-Character Subset

This question evaluates algorithm design and combinatorial optimization skills, specifically the ability to model disjoint-character constraints, hand...

Coding & Algorithms
2
0
48 people solved
Mar 1, 2026
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Meta
Hard
Machine Learning EngineerSenior+ AI Locked

Extend a Maze Solver

This question evaluates competence in graph search and state-space modeling, specifically BFS-based pathfinding, constrained traversal rules (directio...

Coding & Algorithms
4
0
36 people solved
Mar 1, 2026
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Meta
Medium
Data Scientist

Design robust group size limiting for calls

Design the admission-control and enforcement algorithm to limit group-call size under real-world race conditions. Constraints: multiple SFU edges in m...

Coding & Algorithms
7
0
55 people solved
Oct 13, 2025
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Medium
Site Reliability EngineerSenior+

Validate abbreviations and brackets

The coding round included two short implementation problems: 1. Abbreviation validation Given a lowercase word word and a string abbr, determine wheth...

Coding & Algorithms
1
0
28 people solved
Apr 12, 2026
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Easy
Software Engineer

Implement Multi-Level In-Memory Services

Implement the following independent multi-level in-memory service simulations. In an interview, you may receive one scenario and unlock the levels seq...

Coding & Algorithms
0
0
10 people solved
Apr 4, 2026
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Meta
Medium
Software Engineer AI

Implement an Expiring Record Store

Implement a level-based in-memory record store. The store contains records identified by a string key. Each record contains fields, where each field i...

Coding & Algorithms
2
0
32 people solved
Apr 1, 2026
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Meta
Medium
Software Engineer Locked

Implement fast power and k-palindrome

This question evaluates numerical algorithm design and string algorithm skills, focusing on efficient exponentiation with negative exponents and deter...

Coding & Algorithms
5
0
44 people solved
Apr 1, 2026
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Meta
Medium
Software Engineer

Implement a versioned in-memory DB with CAS and history

In-Memory DB V2: TTL + Compare-And-Set/Delete + Historical Reads Implement an in-memory database keyed by (key, field) supporting TTL, conditional upd...

Coding & Algorithms
7
0
73 people solved
Feb 11, 2026
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Meta
Medium
Machine Learning Engineer AI Locked

Build Friend Recommendations

This question evaluates proficiency with graph data structures, set operations, uniform random sampling, counting mutual connections, and deterministi...

Coding & Algorithms
5
0
46 people solved
Feb 8, 2026
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Meta
Medium
Software EngineerSenior+ Locked

Solve Tree Diameter and Palindromic Counts

This two-problem prompt evaluates proficiency in tree algorithms and recursion for computing longest paths in binary trees, along with string processi...

Coding & Algorithms
2
0
16 people solved
May 21, 2026
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Meta
Hard
Machine Learning Engineer Locked

Simulate Monster Team Battles

This question evaluates a candidate's ability to model stateful simulations and implement deterministic battle mechanics with clean data structures an...

Coding & Algorithms
1
0
21 people solved
May 19, 2026
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Meta
Easy
Software Engineer

Solve palindrome-check and vertical-order traversal

You are asked to solve two separate coding questions. You do not need to run code; be prepared to explain your approach and walk through examples. Que...

Coding & Algorithms
2
0
40 people solved
Oct 13, 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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