Meta Interview Questions

Meta System Design 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
Software Engineer Locked

Validate parentheses and find k-th largest

This pair of problems evaluates mastery of fundamental data structures and algorithmic techniques: Problem A tests understanding of stack-based parsin...

Coding & Algorithms
6
0
65 people solved
Jan 6, 2026
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Meta
Medium
Software Engineer Locked

Answer four array/time/grid query questions

This set of four problems evaluates array manipulation and comparison, time parsing and minute-difference calculation, linear path enumeration with ex...

Coding & Algorithms
14
0
181 people solved
Jan 6, 2026
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Meta
Medium
Software Engineer Locked

Add two binary strings

This question evaluates proficiency with binary arithmetic and string manipulation, focusing on carry propagation and handling of very long inputs wit...

Coding & Algorithms
3
0
33 people solved
Jan 5, 2026
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Meta
Hard
Software Engineer

Design an online coding judge

Question Design an online coding practice and judging platform (think LeetCode / HackerRank / Codeforces) where users submit solutions that are compil...

System Design
5
0
43 people solved
Aug 14, 2025
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Meta
Hard
Software Engineer

Design a ticketing purchase system

System Design: High-Concurrency Ticket Purchasing With Seat Maps You are asked to design an end-to-end ticketing system for large on-sale events (e.g....

System Design
6
0
52 people solved
Aug 14, 2025
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Meta
Medium
Software Engineer

Find missing ranges in interval

Given a sorted unique integer array nums and two integers lower and upper defining an inclusive interval [lower, upper], return all missing ranges not...

Coding & Algorithms
2
0
31 people solved
Aug 14, 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
34 people solved
Aug 14, 2025
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Meta
Hard
Product Manager

Should Meta build accessible VR?

You are a Product Manager in Meta's New Product Introduction organization for VR hardware. The team is considering an accessibility-focused VR experie...

Product Design & Strategy
2
0
40 people solved
Apr 10, 2024
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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

Design a mini banking system

Design a mini banking system In-Memory Banking System — Design and Implementation You are to design and implement an in-memory banking system that sup...

System Design
9
0
86 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
Data Scientist

[Analytical Reasoning] Comparing Two Newsfeed Ad Insertion Methods

Compare two ad-insertion methods for a 100-post newsfeed. Both methods have the same average ad load. - Method A: each post is independently replaced ...

Analytics & Experimentation
18
0
77 people solved
Apr 7, 2025
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Meta
Medium
Data Engineer

Visualize Netflix metric trends

Visualize Netflix metric trends Visualizing a Streaming Metric for Netflix Prompt Choose one streaming metric (for example, Daily Active Viewers or Av...

Analytics & Experimentation
5
0
83 people solved
Aug 4, 2025
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Meta
Hard
Data Scientist

Determine Key Metrics and Design A/B Test for Ad Ranking

Determine Key Metrics and Design A/B Test for Ad Ranking Experiment Design: Replacing Rule-Based Ad Ranking with a Recommender Context You are launchi...

Analytics & Experimentation
5
0
43 people solved
Aug 4, 2025
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Meta
Medium
Data Scientist

Analyze Mobile Promo Orders with SQL Query and Metrics

orders +-----------+---------+--------------+------------+-----------+----------+ | order_id | user_id | order_amount | order_date | is_mobile | is_p...

Data Manipulation (SQL/Python)
2
0
11 people solved
Aug 4, 2025
Meta logo
Meta
Hard
Data Scientist

Determine User Demand for New Video-Calling Feature

Determine User Demand for New Video-Calling Feature Analytics Design: Demand Sizing, Evaluation Metrics, and Trade-offs for a New Video-Calling Featur...

Analytics & Experimentation
4
0
31 people solved
Aug 4, 2025
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Meta
Medium
Data Scientist

Boost Engagement and Purchases in Meta Social Products

Boost Engagement and Purchases in Meta Social Products Meta Social Products: Driving Comments in Facebook Groups and In‑App Purchases on Instagram Con...

Analytics & Experimentation
2
0
30 people solved
Aug 4, 2025
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Meta
Medium
Data Scientist

Define and Measure Effective Read on Newsfeed

Define and Measure Effective Read on Newsfeed Designing an "Effective Read" Metric for a Newsfeed Scenario You are tasked with defining and measuring ...

Analytics & Experimentation
1
0
21 people solved
Aug 4, 2025
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Meta
Medium
Data Scientist

Design A/B Test to Evaluate New Video-Feed Feature

Design A/B Test to Evaluate New Video-Feed Feature Scenario A consumer social-media app is launching a short‑video feed (TikTok-style). A newly added ...

Analytics & Experimentation
2
0
28 people solved
Aug 4, 2025
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Meta
Medium
Data Scientist

Determine Probability of Fourth Good Response After Three Successes

Determine Probability of Fourth Good Response After Three Successes Evaluating Good-Response Rates for Chatbot Outputs Context You are evaluating chat...

Statistics & Math
2
0
41 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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