Meta Interview Questions

Meta Analytics & Experimentation Interview Questions

Practice 1,159 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 Company07.06.2026
Showing 20 results
Role
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Meta
Medium
Machine Learning Engineer

Detect cycles and order with DFS

You are given a directed graph of package dependencies represented as an adjacency list: Map<String, List<String>> deps where deps[p] lists packages t...

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

Traverse binary tree by levels with constraints

Given a binary tree and a predicate P(node), perform a level-by-level traversal that collects, for each level, only the nodes whose values satisfy P. ...

Coding & Algorithms
2
0
33 people solved
Sep 6, 2025
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Meta
Medium
Data Engineer

Define and analyze product metrics

Product Analytics Case: Short‑Form Video Feed Context: You are evaluating a short‑form video feed feature inside a large social app where users swipe ...

Analytics & Experimentation
9
1
62 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Solve word count, node, segmentation, stock tasks

You have four tasks: 1) Count words with explicit rules: Given a text document, return the number of words. First define precisely what qualifies as a...

Coding & Algorithms
3
0
39 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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Meta
Medium
Software Engineer

Design unit tests for grid navigation

Mouse-Maze Controller: Design a Comprehensive Unit Test Suite Context (assumptions to make the task self-contained) Assume we are testing a controller...

Software Engineering Fundamentals
3
0
62 people solved
Sep 6, 2025
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Meta
Hard
Software Engineer

Design an Instagram-like photo-sharing platform

System Design: Instagram-like Photo and Short-Video Platform Goal Design an Instagram-like platform for photos and short videos. The design should cov...

System Design
4
0
46 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Schedule and cancel delayed payments

Question Extend an existing in-memory payment system (immediate transfers between accounts, plus a top-N spenders/payers leaderboard) with scheduled p...

System Design
11
0
100 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Find mode or minimum with time-space tradeoffs

For an unsorted array of integers, implement two functions: ( 1) return the minimum value; ( 2) return the value that appears most frequently (the mod...

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

Answer four string/array/battery coding questions

You are given four independent coding questions. Problem A — Uppercase vs lowercase count difference Given a string s (ASCII), count how many characte...

Coding & Algorithms
4
0
46 people solved
Dec 16, 2025
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Meta
Easy
Machine Learning Engineer Locked

Solve four OA string/array/matrix/graph tasks

This multi-part prompt evaluates proficiency in core programming competencies: string parsing and character classification, simulation/greedy processi...

Coding & Algorithms
10
0
77 people solved
Feb 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
153 people solved
Feb 12, 2026
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Meta
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
50 people solved
Oct 21, 2025
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Meta
Hard
Software Engineer

Answer key behavioral prompts effectively

Prepare responses for these behavioral prompts: 1. Proudest project: Describe the project you’re most proud of and why. 2. Conflict: Tell me about a t...

Behavioral & Leadership
2
0
23 people solved
Oct 21, 2025
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Meta
Medium
Software EngineerSenior+ Locked

Solve maze tasks and compute shortest routes

This multi-part question evaluates proficiency in grid-based pathfinding and shortest-path reasoning, debugging and incremental code extension, handli...

Coding & Algorithms
6
0
81 people solved
Feb 11, 2026
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Meta
Medium
Software Engineer

Design ticketing and coding practice platforms

You are asked two separate system design questions. --- 1. Design an online event ticketing platform (like Ticketmaster) Design a large-scale web serv...

System Design
2
0
30 people solved
Oct 18, 2025
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Meta
Medium
Machine Learning Engineer Locked

Design recommendation and weapon-ad detection systems

This question evaluates proficiency in end-to-end ML system design, covering scalable recommendation systems and safety-focused ad classification with...

ML System Design
8
0
81 people solved
Dec 9, 2025
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Meta
Medium
Software Engineer

Explain ACID and isolation levels

Explain what a database transaction is, define the ACID properties (Atomicity, Consistency, Isolation, Durability), and describe common transaction is...

Software Engineering Fundamentals
7
0
69 people solved
Dec 8, 2025
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Meta
Medium
Software Engineer

Describe a failed project and lessons learned

Describe a project you worked on that ultimately failed or did not meet its goals. Explain: - What the project was trying to achieve and your role. - ...

Behavioral & Leadership
2
0
38 people solved
Dec 8, 2025
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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
4
0
44 people solved
Feb 8, 2026

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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