Meta Interview Questions

Meta Behavioral & Leadership Interview Questions

Practice 1,166 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable impact.

1.2k Questions 1 Company08.08.2026
Showing 20 results
Role
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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
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Meta
Medium
Software Engineer

Solve sliding window and tree BFS problems

1) Sliding window: Given an array of positive integers nums and an integer target, return the minimal length of a contiguous subarray whose sum is at ...

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

Solve grid path and robot navigation

Part A — Shortest path in a grid with obstacles: Given an m×n grid of 0/1 cells (0 = open, 1 = obstacle), start at (0, 0) and end at (m−1,n− 1). You m...

Coding & Algorithms
4
0
34 people solved
Sep 6, 2025
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Meta
Medium
Machine Learning Engineer Locked

Design a newsfeed dislike model

This question evaluates a candidate's ability to design and operationalize a machine learning model that predicts the probability of a user disliking ...

ML System Design
8
0
67 people solved
Sep 4, 2025
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Meta
Medium
Machine Learning Engineer Locked

Solve sampling and streaming tasks

This question evaluates algorithmic problem-solving, data structure design, probabilistic reasoning for weighted random selection, sliding-window stri...

Coding & Algorithms
1
0
29 people solved
Sep 4, 2025
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Meta
Medium
Data Scientist

Compute SHOP spend share and model performance

You work on ads measurement. Advertisers can drive users to either Facebook Shop ('SHOP') or their own website ('WEBSITE'). After an ad is shown, you ...

Data Manipulation (SQL/Python)
7
0
62 people solved
Aug 21, 2025
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Meta
Medium
Data Scientist

Find the most-used app

You work on Oculus app engagement analytics. Tables user_activity - user_id (BIGINT) - date (DATE) — day of activity (assume UTC unless otherwise spec...

Data Manipulation (SQL/Python)
4
0
32 people solved
Aug 17, 2025
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Meta
Medium
Software Engineer

Handle last-minute track change

Behavioral Question: Switching Tracks Mid-Interview Loop You are midway through a software engineering onsite when the interview focus changes (e.g., ...

Behavioral & Leadership
2
0
35 people solved
Aug 14, 2025
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Meta
Medium
Data Engineer

Solve four algorithmic library problems

Solve the following coding tasks: 1) Maximum Points from Different Categories: Given an array of items (category, points) and an integer k, choose exa...

Coding & Algorithms
9
0
87 people solved
Aug 13, 2025
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Meta
Medium
Software Engineer

Solve tree traversal and interval merging tasks

Part A — Column-wise Binary Tree Grouping: You are given the root of a binary tree. Group nodes by vertical column index, where the root has column 0,...

Coding & Algorithms
4
0
37 people solved
Aug 13, 2025
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Meta
Medium
Software Engineer

Solve permutation successor and evaluate expressions

Part A: Given a sequence of integers that forms a permutation, rearrange it in-place to produce the immediate next sequence in lexicographic order. If...

Coding & Algorithms
3
0
27 people solved
Aug 12, 2025
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Meta
Medium
Software Engineer

Remove runs of length at least k

Given a string s and an integer k (k >= 2), repeatedly remove every maximal contiguous group of the same character whose length is at least k, deletin...

Coding & Algorithms
2
0
24 people solved
Aug 12, 2025
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Meta
Medium
Software Engineer

Solve array merge and tree flattening problems

Solve array merge and tree flattening problems 1) Given two sorted arrays, merge them into a single sorted array. Provide both an in-place approach (w...

Coding & Algorithms
1
0
33 people solved
Aug 9, 2025
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Meta
Medium
Software Engineer

Discuss project pride, conflict, and pivots

Discuss project pride, conflict, and pivots Behavioral & Leadership (Technical Screen) Context You are a software engineer in a technical screen that ...

Behavioral & Leadership
2
0
44 people solved
Aug 7, 2025
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Meta
Medium
Software Engineer

Check near-palindrome with one deletion

Check near-palindrome with one deletion Given a string s, determine whether it can become a palindrome after deleting at most one character. Return bo...

Coding & Algorithms
3
0
28 people solved
Aug 7, 2025
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Meta
Medium
Software Engineer

Compute binary tree diameter

Compute binary tree diameter Given the root of a binary tree, compute the tree's diameter defined as the maximum number of edges on any path between t...

Coding & Algorithms
4
0
44 people solved
Aug 7, 2025
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Meta
Medium
Software Engineer

Compute weighted sum of nested lists

Compute weighted sum of nested lists Given a nested collection that can contain integers or other nested collections, compute the depth-weighted sum w...

Coding & Algorithms
7
0
52 people solved
Aug 7, 2025
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Meta
Easy
Data ScientistSenior+

Describe something you did to be inclusive

Describe something you did to be inclusive Behavioral: Inclusiveness Tell me about a time you did something to make your team or workplace more inclus...

Behavioral & Leadership
3
0
33 people solved
Aug 5, 2025
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Meta
Medium
Software Engineer

Solve weighted pick and product except self

Question LeetCode 528. Random Pick with Weight LeetCode 238. Product of Array Except Self https://leetcode.com/problems/random-pick-with-weight/descri...

Coding & Algorithms
5
0
36 people solved
Aug 4, 2025
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Meta
Medium
Data Engineer

Demonstrate behavioral competencies

Demonstrate behavioral competencies Behavioral Interview Prompt: Prepare STAR Stories Context You are preparing for an onsite Behavioral & Leadership ...

Behavioral & Leadership
4
0
39 people solved
Aug 4, 2025

Frequently Asked Questions

How difficult are Meta interview questions?
Meta interview questions span a wide difficulty range because they must screen candidates from entry to senior levels across many functions. Expect coding rounds to map to medium-to-hard algorithmic problems that appear in top 100 problem lists for software engineers, and expect data roles to face challenging SQL, experiment diagnosis, and product-analytics problems that require clean metric definitions. Machine learning roles emphasize recommendation and ranking tradeoffs and model complexity, while data engineers encounter large-scale ETL and modeling puzzles. Difficulty scales with level: entry hires see clearer, bounded problems; senior hires face ambiguous tradeoffs and system-wide thinking.
What is Meta's interview process and where do these questions appear?
Meta typically runs a multi-stage process: recruiter screen, one or two technical screens or an online assessment, a full loop of onsite-style interviews, then debrief, committee review, and offer. The full loop mixes coding, system or product design, role-specific technical rounds, and behavioral interviews. Software-engineer candidates spend most time on coding and design; data scientists focus on SQL, experimentation, and product analytics; machine-learning engineers see modeling and recommendation design; data engineers handle SQL, data modeling, and pipeline questions; PMs get product-design and analytics probes. In 2025–2026 some teams pilot AI-enabled coding rounds.
How should I structure a preparation timeline for a Meta interview?
A focused six-week plan works well: weeks one and two cover fundamentals—data structures, algorithms, SQL basics, and experiment design; weeks three and four emphasize timed problem practice, mock phone screens, and role-specific cases (A/B diagnosis for data scientists, model design for MLEs, ETL modeling for data engineers); week five concentrates on system or product design and behavioral storytelling; week six is for full mock loops, timing, and refining communication. Practice with realistic tools, simulate loop pacing, and schedule a debrief after each mock to iterate on clarity, edge-case handling, and time management.
Which technical subtopics are most commonly tested for each role at Meta?
For Data Scientist interviews the recurring technical themes are product-metric definition, diagnosing experiment and spend drops, counting multi-account interactions, SQL for multi-entity metrics, and ranking or recommendation evaluation such as shop ad ranking. Software-engineer questions frequently focus on timestamped state and versioned systems, leaderboards and ranking, maze/graph traversal and tree/array transforms, delimiter and CSV parsing, and scalable search or flight-search style designs. Machine-learning engineers see place and friend recommendation design, sparse-matrix operations, ranking/loss choices, and feed dislike or personalization models. Data engineers repeatedly face entity modeling for feed and booking data, SQL analytics for utilization and reservations, and capacity-aware aggregation challenges.
What standout tips and common pitfalls should I watch for in Meta interviews?
Start interviews by clarifying requirements and expected outputs, then propose measurable success metrics; this prevents misaligned solutions. For coding, think aloud, handle edge cases, state complexity up front, and write a couple of quick tests. In design rounds quantify load, storage, and tradeoffs rather than vague features. Data roles must define metrics, guardrails, and experiment assumptions before jumping to analysis; common pitfalls are ambiguous metric definitions, peeking at tests, and ignoring instrumentation limits. For AI-assisted coding rounds, use the assistant to accelerate boilerplate but validate logic and corner cases yourself. Finish each answer with a concise summary of impact and tradeoffs.

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