Top LeetCode Problems for Meta Interviews in 2026

Meta's engineering culture is built around speed, and their interview process reflects that. Each coding round lasts exactly 45 minutes, and you are expected to produce clean, working, optimally efficient code within that window. There is no partial credit for an almost-working solution — interviewers want to see you move confidently from problem understanding to implementation to optimization.

The leetcode meta interview process is one of the most well-documented in the industry, and for good reason. Meta hires thousands of software engineers every year across E3 through E7 levels, and the coding bar is consistent regardless of team. Whether you are interviewing for Instagram, WhatsApp, Reality Labs, or core infrastructure, the same patterns and problem types appear again and again.

What makes Meta's process distinct from other top companies is the emphasis on execution speed combined with communication. You are not just solving problems — you are narrating your thought process, handling follow-up variations, and demonstrating that you can write production-quality code under pressure. This guide breaks down everything you need to know to prepare effectively.

The meta coding interview pipeline starts with a recruiter screen, followed by a technical phone screen, and then a full onsite loop. The phone screen is a single 45-minute coding round where you solve one or two problems while sharing your screen. The onsite loop typically includes two coding rounds, one system design round (for E5 and above), and one behavioral round called "Jedi" or the leadership and drive interview.

At the E4 (mid-level) stage, you face two coding rounds and one behavioral round. The system design round is not included at E4, which means your coding performance carries outsized weight. For E5 (senior) and E6 (staff), a system design round is added and the bar for coding complexity and communication increases significantly. E6 candidates may also face a "ninja" or "pirate" round — an additional coding or architecture assessment.

Each coding round follows a predictable structure. The interviewer presents a problem, you clarify requirements, propose an approach, code the solution, test it, and then handle a follow-up question or optimization request. The entire arc should take 35-40 minutes, leaving time for your questions at the end. Interviewers use a standardized rubric that evaluates problem solving, coding quality, communication, and verification.

Meta's leetcode meta interview questions cluster around a relatively small set of patterns. If you study the right categories, you can cover the vast majority of problems that appear in real interviews. The data from thousands of candidate reports on LeetCode, Glassdoor, and Blind paints a clear picture of what Meta favors.

Arrays and strings dominate the problem pool. Hash maps for frequency counting, two-pointer techniques for sorted arrays, and prefix sums for subarray problems appear constantly. Tree problems are the second most common category — binary tree traversals, lowest common ancestor, and serialization questions show up in nearly every onsite loop. Graph problems, particularly BFS on grids and matrices, round out the top three.

Dynamic programming appears less frequently than at Google but still shows up, especially for E5+ candidates. Interval and merge problems are a Meta signature — questions about meeting rooms, merging intervals, and insert intervals appear disproportionately often compared to other companies. Finally, design-oriented coding questions that test your ability to implement data structures like LRU Cache or random weighted selection are Meta favorites.

Based on frequency data from LeetCode's company tag, interview reports on Blind, and community sources, these 15 problems represent the core of what Meta asks in coding rounds. Solving all of them will expose you to the exact patterns and edge cases that appear most often in real facebook leetcode problems.

For arrays and strings, start with Subarray Sum Equals K (#560) which tests prefix sum plus hash map, Valid Palindrome II (#680) which tests greedy two-pointer logic, and Minimum Remove to Make Valid Parentheses (#1249) which tests stack-based string manipulation. These three problems alone cover patterns that appear in roughly a quarter of all Meta coding rounds.

For trees, focus on Lowest Common Ancestor of a Binary Tree (#236), Binary Tree Right Side View (#199), and Flatten Binary Tree to Linked List (#114). Meta loves tree problems because they naturally test recursion, edge case handling, and the ability to think about problems in terms of subproblems. You should be able to solve any of these in under 15 minutes.

For graphs and BFS, practice Clone Graph (#133), Number of Islands (#200), and Word Break (#139). For the design and simulation category, master Random Pick with Weight (#528), LRU Cache (#146), and Add and Search Word (#211). Finally, for intervals and DP, cover Merge Intervals (#56), Product of Array Except Self (#238), and Continuous Subarray Sum (#523).

Speed to a working solution is the single most important factor in Meta coding interviews. Unlike Google, where interviewers may spend 20 minutes exploring your problem-solving thought process before you write code, Meta interviewers want to see running code quickly. The best strategy is to describe your brute-force approach in 2-3 sentences, confirm it with the interviewer, code it up, test it, and then optimize if time permits.

Communication at Meta follows a specific rhythm. State your approach before coding, narrate key decisions as you write (especially around edge cases), and explicitly walk through a test case after finishing. Interviewers are trained to evaluate your communication separately from your coding ability, so even if your solution is correct, poor communication can lower your score.

Follow-up questions are almost guaranteed. After you solve the initial problem, the interviewer will either ask you to optimize the time or space complexity, handle a new constraint, or extend the problem. Treat the first problem as a warm-up that should take 15-20 minutes, leaving 15-20 minutes for the follow-up. If you spend 35 minutes on the initial problem, you have already lost ground even if your solution is perfect.

Write clean code from the start. Use descriptive variable names, extract helper functions when logic gets complex, and avoid global mutable state. Meta interviewers care about code quality because they are evaluating whether they would want to review your code in a real pull request. Sloppy variable names and deeply nested conditionals signal a lack of engineering maturity.

Understanding the level-specific expectations for meta E4 E5 interview rounds is critical because the same problem can yield different outcomes depending on the level you are interviewing for. An E4 candidate who solves a medium problem with a clean optimal solution will get a strong hire signal. An E5 candidate who solves the same problem the same way may only get a lean hire — because at senior level, the bar includes handling follow-ups, discussing trade-offs, and demonstrating deeper algorithmic intuition.

At E4 (mid-level), you need to solve one medium or one easy plus one medium problem per round with correct, reasonably clean code. The emphasis is on correctness and basic optimization. You do not need to system design. Most E4 candidates who clear the bar solve problems in the LeetCode medium range and demonstrate solid fundamentals in arrays, strings, trees, and basic graph traversal.

At E5 (senior), coding expectations increase — you should solve mediums quickly and handle hard-level follow-ups or optimizations. The system design round is now part of the loop and carries significant weight. E5 candidates are expected to drive the conversation, proactively identify edge cases, and propose multiple approaches before selecting one. The meta SWE interview at E5 also evaluates your ability to make trade-off decisions under time pressure.

At E6 (staff), the coding bar is the same as E5 but the behavioral and system design bars are substantially higher. The additional ninja or pirate round may involve an open-ended architecture problem or a particularly challenging coding problem. E6 candidates are evaluated on technical leadership — can you break down ambiguous problems, make sound technical decisions, and communicate at a level that would influence a team?

A focused 4-week plan is enough to prepare for Meta coding interviews if you already have solid fundamentals in data structures and algorithms. The key is structured daily practice with spaced repetition — not random grinding. YeetCode's flashcard system is built for exactly this kind of targeted meta interview prep, helping you internalize patterns so they become automatic during your 45-minute rounds.

In week one, focus exclusively on arrays, strings, and hash map problems. Solve Subarray Sum Equals K, Valid Palindrome II, Product of Array Except Self, and Minimum Remove to Make Valid Parentheses. Use YeetCode flashcards to drill the prefix sum, two pointer, and hash map frequency patterns daily. By the end of week one, these three patterns should feel automatic.

Week two shifts to trees and graphs. Solve Lowest Common Ancestor, Binary Tree Right Side View, Clone Graph, and Number of Islands. Practice recognizing when to use BFS versus DFS, and drill the recursive tree traversal template until you can write it without thinking. Add the week one patterns to your YeetCode spaced repetition queue so you do not lose them.

Week three covers dynamic programming, intervals, and design problems. Solve Word Break, Merge Intervals, LRU Cache, Random Pick with Weight, and Continuous Subarray Sum. These problems are harder, so allocate more time per problem. Continue reviewing week one and two patterns through YeetCode flashcards — by now you should have 8-10 patterns in active rotation.

Week four is full simulation mode. Do timed 45-minute mock interviews using problems you have not seen before from the same categories. Practice speaking your thought process aloud, writing clean code on a shared screen, and handling follow-up questions gracefully. Use YeetCode for final pattern review — if you can recall the approach for any pattern within 10 seconds, you are ready for your meta onsite coding rounds.