Meta Interview Questions

Meta 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

Navigate unknown grid to locate target

You control a mouse in an unknown 2D maze. You do not know the maze dimensions or your absolute coordinates. The interface exposes move() → bool (atte...

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

Reverse sublist between equal-value nodes

Given the head of a singly linked list and a target value v that appears at least twice, reverse the sublist starting at the first node with value v a...

Coding & Algorithms
4
0
39 people solved
Sep 6, 2025
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Meta
Hard
Software Engineer

Handle invalid input at system level

Design: Validation and Error Handling for a Top-K Frequency API Context You are designing a REST endpoint that computes the top-K most frequent values...

System Design
1
0
33 people solved
Sep 6, 2025
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Meta
Medium
Software Engineer

Count subarrays summing to target

Given an integer array nums and an integer target T, return the number of contiguous subarrays whose sum equals T. Provide an algorithm that runs in l...

Coding & Algorithms
3
0
33 people solved
Sep 6, 2025
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Meta
Medium
Machine Learning Engineer

Return k smallest elements using heap

Given an unsorted array nums of up to 1,000,000 integers and an integer k (1 <= k <= nums.length), return the k smallest elements in ascending order. ...

Coding & Algorithms
5
0
46 people solved
Sep 6, 2025
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Meta
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
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
Machine Learning EngineerIntern

Implement scaled dot-product attention

Task In this interview you are asked to hand-write the forward pass of attention from the mathematical formula (no need to run code). Implement single...

Coding & Algorithms
3
0
44 people solved
Sep 2, 2025
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Meta
Hard
Product Manager

Design Parking for Google Maps

Design a parking-finding experience for Google Maps. Assume the product goal is to help drivers reduce uncertainty and wasted time when parking near a...

Product Design & Strategy
4
0
33 people solved
Feb 22, 2024
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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 Locked

Define and estimate prevalence of unhealthy users

This question evaluates a data scientist's ability to operationalize an "unhealthy user" metric and compute its prevalence from session duration and d...

Analytics & Experimentation
3
0
36 people solved
Aug 17, 2025
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Meta
Hard
Data Scientist Locked

Test if social users are more engaged

This question evaluates a data scientist's competencies in observational analytics, engagement metric selection, cohort construction for overlapping b...

Analytics & Experimentation
1
0
27 people solved
Aug 17, 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

Implement basic expression evaluator

Implement a function to evaluate a string expression containing non-negative integers, '+', '-', '*', '/', and spaces. Multiplication and division hav...

Coding & Algorithms
4
0
30 people solved
Aug 14, 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

Find the kth largest element

Given an unsorted array of n integers and an integer k (1 ≤ k ≤ n), return the k-th largest element without fully sorting the array. Design two method...

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

Implement in-place duplicate removal

Given a non-decreasing array of integers, overwrite it in-place so that each distinct value appears exactly once while preserving the order of the uni...

Coding & Algorithms
2
0
35 people solved
Aug 12, 2025
Meta logo
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

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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