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
Meta logo
Meta
Medium
Data Scientist

Compute posterior and event counts in fraud screen

Fake-Account Screening with Threshold on 5 Signals You are designing a rule-based screener that flags an account if at least k of 5 binary signals fir...

Statistics & Math
2
0
41 people solved
Oct 13, 2025
Meta logo
Meta
Hard
Data Scientist

Design a feed ads A/B test with guardrails

Experiment Design: Insert One Extra Ad Every 8 Organic Posts in Main Feed Context You want to increase ad load by inserting one additional ad for ever...

Analytics & Experimentation
2
0
36 people solved
Oct 13, 2025
Meta logo
Meta
Hard
Data Scientist

Design a restaurant recommender under cold start

Design a Multi-Objective Restaurant Ranking System You own the restaurant recommendation surface for a city app. The goal is to rank nearby restaurant...

Machine Learning
3
0
44 people solved
Oct 13, 2025
Meta logo
Meta
Hard
Data Scientist

Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment

Question You are given two event tables, info_stream_views (one row per viewer–post view, with viewer_id, post_id, relationship ∈ {friend, unconnected...

Analytics & Experimentation
5
0
68 people solved
Oct 13, 2025
Meta logo
Meta
Medium
Data Scientist

Compute time-spent percentage by app category

You work on Oculus app engagement analytics. Tables user_activity - user_id (BIGINT) - date (DATE) — day of activity (assume UTC) - app_id (INT) - ses...

Data Manipulation (SQL/Python)
6
0
51 people solved
Aug 17, 2025
Meta logo
Meta
Easy
Software Engineer

Solve palindrome-check and vertical-order traversal

You are asked to solve two separate coding questions. You do not need to run code; be prepared to explain your approach and walk through examples. Que...

Coding & Algorithms
2
0
39 people solved
Oct 13, 2025
Meta logo
Meta
Medium
Software Engineer

Design a price drop tracking service

Design a price tracking service like CamelCamelCamel. Requirements: - Users track products and receive alerts when price drops below a threshold. - Pe...

System Design
6
0
54 people solved
Feb 25, 2026
Meta logo
Meta
Medium
Software Engineer

Design a YouTube/Netflix video platform

Design a video platform similar to YouTube/Netflix. Requirements: - Upload videos (for YouTube-like) and/or ingest catalog (for Netflix-like). - Trans...

System Design
3
0
64 people solved
Feb 25, 2026
Meta logo
Meta
Easy
Data Scientist

Handle conflict and urgent shifting priorities

Answer the following behavioral questions with concrete examples from your experience: 1. Describe a conflict you had with a partner or teammate. What...

Behavioral & Leadership
10
0
97 people solved
Jan 17, 2026
Meta logo
Meta
Medium
Product Analyst

How would you drive product growth?

Assume you are interviewing for a Product Growth Analyst role at Meta. Answer the following product growth and analytics cases. For each case, clarify...

Analytics & Experimentation
5
0
72 people solved
Jan 16, 2026
Meta logo
Meta
Hard
Software EngineerSenior+

Build a Mistral-powered RAG agent

Build a Minimal RAG Tool Using the Mistral API Context You have an API token and need to implement a small retrieval-augmented generation (RAG) tool i...

ML System Design
8
0
82 people solved
Sep 6, 2025
Meta logo
Meta
Hard
Software Engineer

Design a basic bank system API

In-Memory Bank System: API, Data Model, Invariants, Semantics, and Edge Cases Goal Design and implement an in-memory bank system that supports account...

System Design
9
0
65 people solved
Sep 6, 2025
Meta logo
Meta
Hard
Machine Learning Engineer

Demonstrate leadership and ensure data compliance

Behavioral & Leadership: Leading Through Reorg While Shipping ML + Ensuring Data Compliance Context You are the ML lead during a reorganization that r...

Behavioral & Leadership
7
0
61 people solved
Sep 6, 2025
Meta logo
Meta
Easy
Software Engineer

Describe background and job motivations

Behavioral HR Screen: Self-Introduction, Role, Motivation, and Company Fit Context - Scenario: HR screen for a Software Engineer role. - Goal: Concise...

Behavioral & Leadership
5
0
64 people solved
Sep 6, 2025
Meta logo
Meta
Medium
Software Engineer

Describe conflict where you yielded to others

Describe a time you had a conflict or strong disagreement at work, but ultimately decided to follow someone else’s approach instead of your own. In yo...

Behavioral & Leadership
8
0
67 people solved
Dec 8, 2025
Meta logo
Meta
Medium
Software Engineer

Share different perspective from leadership feedback

Describe a time when you received feedback from a manager or senior leader that gave you a different perspective on a situation or project. Explain: -...

Behavioral & Leadership
4
0
46 people solved
Dec 8, 2025
Meta logo
Meta
Hard
Data Scientist

Design Machine Learning Model for Facebook Groups Post Ranking

Design Machine Learning Model for Facebook Groups Post Ranking ML System Design: Ranking Facebook Groups Posts in News Feed Scenario You are designing...

Machine Learning
4
0
51 people solved
Aug 4, 2025
Meta logo
Meta
Medium
Data Scientist

Master Behavioral Interview Questions for Data/ML Roles

Master Behavioral Interview Questions for Data/ML Roles Behavioral & Leadership Interview (Data Scientist Onsite) Context You are preparing for an ons...

Behavioral & Leadership
17
0
71 people solved
Aug 4, 2025
Meta logo
Meta
Medium
Data Scientist

Design A/B Test for Short-Video Recommendation Algorithm

Design A/B Test for Short-Video Recommendation Algorithm A/B Test: New Short‑Video Recommendation Algorithm Context You are evaluating a new recommend...

Analytics & Experimentation
8
0
72 people solved
Aug 4, 2025
Meta logo
Meta
Medium
Software Engineer

Find balanced subarray and increasing tree path

You are given two coding problems. Problem 1: Longest balanced subarray (0/1) Given an integer array nums of length n where each element is either 0 o...

Coding & Algorithms
5
0
61 people solved
Nov 2, 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.

Explore more Meta interview questions

Jump straight to Meta questions for a specific role or category.

By role
By category
In-depth guides
Across all companies

Featured Meta interview prep guides

Concept walkthroughs, worked examples, and the real questions from candidate reports.

Editorial prep
Software Engineer
Meta interview
Read the guide
Editorial prep
Data Scientist
Meta interview
Read the guide