Meta Behavioral & Leadership 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.
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Design an Online Judge and Live Comments
The onsite included two system design prompts: 1. Design an online judge platform where users submit code for programming problems. The system must su...
Count Distinct Values in a Sorted Array When K Is Small
Count Distinct Values in a Sorted Array When K Is Small Given an integer array sorted in nondecreasing order, return the number of distinct values. Le...
Design an Expected O(1) Randomized Container
Design an Expected O(1) Randomized Container Design a generic container that stores distinct elements and supports: - insert(element) -> bool: add an ...
Design a scalable MoE pretraining pipeline
Design a Large-Scale MoE Pretraining Pipeline (Bilingual LLM, 1T Tokens, 256×A100-80GB) Context You are designing a pretraining pipeline for a decoder...
Implement BFS-based maze solver
Maze Printing and BFS Solver You are given a 2D grid representing a maze. Each cell of the grid is one of: - '#' – wall (cannot be passed) - '.' – emp...
Compute Heavy-Caller Percentages
You are given two tables that track voice calls and daily active users for a messaging app. Table: call_events - call_id BIGINT — unique call identifi...
Describe leadership and inclusion examples
Prepare strong behavioral answers for the following prompts: - Tell me about a breakthrough project you led or meaningfully influenced. - Tell me abou...
Describe difficult project, conflict, and PM collaboration
Behavioral round (15 minutes) Answer the following prompts using concrete examples from your experience. 1. Most difficult project - Describe the m...
Solve linked list, tree, and grid problems
Problem A — Find cycle entry in a singly linked list You are given the head of a singly linked list. The list may contain a cycle. - Return the node w...
Design video-ads experiment and handle null results
You are launching a new video-ad format. Design an end-to-end A/B test to evaluate it against the current ad format. Be precise: 1) Define exposure an...
Describe influencing without authority
Behavioral (STAR) Prompt: Disagreeing With a Senior Engineer's Design Without Authority Context You are interviewing for a Data Scientist role in an o...
Describe an Analysis Where You Used AI Responsibly
Prompt Describe one analysis in which you used an AI-assisted tool. Explain the business question, why AI was appropriate, exactly what the tool did, ...
How would you define and use retention metrics?
Scenario You are a Data Scientist supporting a consumer product (app or website). A PM asks you to “dive deep” on user retention and recommends tracki...
Design and evaluate an ads ranking algorithm
This question evaluates a candidate's proficiency in designing and evaluating production-scale ads ranking systems within Machine Learning, covering r...
Design batch and streaming ETL architecture
Design batch and streaming ETL architecture System Design: End-to-End Data Platform for Product Analytics (Batch + Near-Real-Time) Context Design a sc...
Should WhatsApp launch group calls?
This question evaluates a data scientist's skills in experiment design, product analytics, metric definition, causal inference, and managing network e...
Implement Sparse Matrix Operations
This question evaluates proficiency in sparse linear algebra, efficient algorithms, and data-structure design for numerical and machine learning workl...
Evaluate new shop-ads ranking algorithm
This question evaluates a data scientist's skills in online experimentation, causal inference, and marketplace analytics—covering A/B test design, ran...
Tell me about a high-impact end-to-end project
Question Tell me about a high-impact project that you personally drove end-to-end. Walk through the full lifecycle and be ready to cover each of the f...
Handle Cross-Team Alignment and Mistakes
The behavioral round focused on three prompts: 1. How do you align requirements across teams? 2. What is the biggest mistake you have made at work? 3....