Meta Analytics & Experimentation Interview Questions
Practice 1,129 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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Decide and experiment on Group Call feature
Assume today is 2025-09-01. You have only one table, calls_daily_agg(date, user_id, country, device_tier, one_to_one_calls_started, one_to_one_call_du...
How would you evaluate emoji reactions launch?
You work on a Messenger-like chat app (not Meta). The product team plans to ship a new feature: Emoji Reactions (a user can long-press a message for 5...
Design an in-memory cloud storage system
In-Memory Cloud Storage Service (Take-home) Design and implement an in-memory cloud storage service that maps files to their metadata. The project is ...
Solve SQL and Python coding tasks
You are given a small library system with the following relational schema and several Python data-processing tasks. Answer the SQL questions and imple...
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...
Evaluate account re-ranking via logs and A/B test
A product has users with multiple accounts. In the UI, these accounts are shown as a list. - Current ranking: accounts are sorted by most recent visit...
Describe conflict resolution and leadership
In a senior software engineering phone screen, you may be asked several behavioral questions around collaboration, conflict management, and leadership...
Implement weighted random city and sparse dot product
Question 1: Weighted random city picker You are given a mapping from city → population (all populations are positive integers). Implement a random gen...
Compute Range Sum Quickly
Given an integer array nums and two indices left and right (inclusive), return the sum of the elements from nums[left] to nums[right]. You should disc...
Remove minimum invalid mixed brackets
Given a string s containing letters and bracket characters from the set (), [], {}, remove the minimum number of bracket characters so that the result...
Implement an in-memory database with record locking
Implement an in-memory key–record database that supports basic CRUD on fields plus an exclusive lock per record. You are given a sequence of queries. ...
Detect bots using comment distribution patterns
You are analyzing a social/video product where users can leave comments. You are told there may be bot activity. Prompt Using only behavioral data aro...
Describe handling intense time pressure
Behavioral & Leadership (Onsite): Thriving Under Time Pressure and Multitasking Prompt Tell me about a time you had to deliver high‑quality work under...
Architect an asynchronous RL post-training system
System Design: Asynchronous RLHF/RLAIF Post-Training for a Production Chat LLM Context You operate a chat LLM that already serves real user traffic. Y...
Analyze and mitigate fake advertiser accounts
Your ads platform suspects there are fake advertiser accounts (fraudulent accounts created to scam users, evade policy, or manipulate spend). You are ...
Decide when CTR falls but revenue rises
Ads-Ranking A/B Test: Decision, Decomposition, Diagnostics, and Exec Readout Context You ran a user-level A/B test of a new ads-ranking model. The tre...
Write SQL for seller and category metrics
Assume the following marketplace tables. Table: listing_interactions - buyer_id STRING - seller_id STRING - product_id STRING - interaction_date DATE ...
Find kth largest element in array
Question Given an unsorted array of integers nums and an integer k, return the k-th largest element in the array. The 1st largest element is the maxim...
Write SQL for reply-based recipient metrics
You work on a social product and are given two tables. Assumptions (use these unless you state otherwise): - All timestamps are in UTC. - A “reply” is...
How would you design a Shop Ads ranking algorithm?
Context An ads ranking system serves ads via an auction. You want to uprank Shop Ads relative to Website Ads to improve user conversion and help certa...