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

Validate complete binary tree

You are given the root of a binary tree. A complete binary tree is defined as a binary tree in which: 1. Every level, except possibly the last, is com...

Coding & Algorithms
1
0
23 people solved
Dec 8, 2025
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Meta
Medium
Data Scientist

Detect earliest collision among moving cars

You are given n vehicles with kinematics parameters. A “collision” means two vehicles occupy the same position at the same time. Assume continuous tim...

Coding & Algorithms
4
0
30 people solved
Dec 4, 2025
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Meta
Hard
Data Engineer

Compute Max Score From Up to 3 Categories

You are implementing a scoring function for a library summer reading program. Each book a student read is represented as a tuple (category: str, point...

Coding & Algorithms
7
0
62 people solved
Dec 2, 2025
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Meta
Easy
Software Engineer

Implement list cloning and k-frequency finder

You are given two separate coding tasks. --- Problem 1: Deep copy a linked list with extra pointers You are given the head of a singly linked list. Ea...

Coding & Algorithms
3
0
72 people solved
Nov 27, 2025
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Meta
Medium
Data Scientist

How do you expand nested placeholders in strings?

You are given a dictionary of string templates. Keys are identifiers like X, Y, Z. A template may contain placeholders of the form %KEY%, which should...

Coding & Algorithms
3
0
35 people solved
Nov 24, 2025
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Meta
Medium
Software EngineerIntern

Solve tree diameter and grid path problems

You are interviewing for a software engineer / ML intern role and are given the following algorithmic problems. --- Question 1: Longest Path in a Tree...

Coding & Algorithms
2
0
38 people solved
Nov 18, 2025
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Meta
Hard
Software Engineer Locked

Guide a mouse to find cheese with APIs

This question evaluates the ability to reason about graph exploration and stateful API interaction in an unknown 2D grid, assessing competencies in se...

Coding & Algorithms
3
0
45 people solved
Nov 12, 2025
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Meta
Medium
Software Engineer

Determine if subarray sums to target

You are given an array of non-negative integers and a non-negative integer target. Determine whether there exists a contiguous subarray (continuous se...

Coding & Algorithms
7
0
59 people solved
Nov 11, 2025
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Meta
Medium
Software Engineer

Find K-th Largest and Longest Vacation

Solve the following two coding problems. 1. Find the k-th largest element Given an integer array nums and an integer k, return the element that wou...

Coding & Algorithms
3
0
29 people solved
Nov 1, 2025
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Meta
Medium
Machine Learning Engineer

Optimize repeated-value vectors and compute exclusive times

You are given two separate coding tasks from an interview. Task 1: Optimize storage for vectors with repeated values, then compute dot product You are...

Coding & Algorithms
3
0
49 people solved
Oct 30, 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
49 people solved
Oct 30, 2025
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Meta
Medium
Data Scientist

Implement randomized Quickselect without k-shift bug

Implement randomized Quickselect to return the k-th largest element (1-based k, 1 ≤ k ≤ n) from an unsorted integer array. Use an in-place partition t...

Coding & Algorithms
4
0
47 people solved
Oct 13, 2025
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Meta
Medium
Data Scientist

Compute binary-tree diameter via return-only DFS

Given the root of a binary tree, compute its diameter defined as the number of edges on the longest path between any two nodes. Implement a DFS that r...

Coding & Algorithms
6
0
45 people solved
Oct 13, 2025
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Meta
Medium
Data Scientist

Compute 95th-percentile call concurrency

Given N call sessions as half-open intervals [start, end) in UNIX seconds, design an algorithm to compute the 95th percentile of per-minute concurrent...

Coding & Algorithms
3
0
39 people solved
Oct 13, 2025
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Meta
Medium
Software Engineer

Design an in-memory database with TTL and history

Design and implement an in-memory key–field–value store with monotonic timestamps. Keys and fields are strings; values are integers. Provide these API...

Coding & Algorithms
9
0
100 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Implement power and balance-parentheses algorithms

Design and implement two algorithms: 1) Fast exponentiation: Implement a function pow(x, n) that returns a real number x raised to an integer exponent...

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

Implement BST vertical traversal and list conversion

Given the root of a binary search tree (BST): 1) Implement vertical order traversal: assign the root column 0, left child column −1, right child colum...

Coding & Algorithms
2
0
46 people solved
Sep 6, 2025
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Meta
Medium
Machine Learning Engineer

Implement exponentiation and link tree neighbors

Solve two independent tasks. Task A — Fast exponentiation: Implement fastExponent(x, n) that returns x raised to the integer power n, where x is a dou...

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

Design an O(1) recency-evicting cache

Design and implement a fixed-capacity in-memory cache that supports get(key) and put(key, value) in average O( 1) time. When capacity is exceeded, evi...

Coding & Algorithms
7
0
99 people solved
Sep 6, 2025
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Meta
Medium
Data Engineer

Validate alternating checkout/return logs

Given a chronological list of events logs of the form (timestamp, book_id, is_checkout) where is_checkout is True for a checkout and False for a retur...

Coding & Algorithms
8
0
59 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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