Prep Plan

Meta (Facebook) Interview Prep

Complete study plan for Meta software engineering interviews. Covers the most asked coding problems at Facebook/Meta, system design for social-scale infrastructure, and Meta's 'Move Fast' culture behavioral questions.

What Is the Meta Interview Process?

Meta (formerly Facebook) software engineering interviews consist of 5 rounds: 1 standard coding round, 1 AI-assisted coding round, 1 system design round (E5+), and 1-2 behavioral rounds. Meta asks 2x more DSA questions per coding round than other big tech companies — you’re expected to solve 2 medium problems or 1 hard in 45 minutes. The emphasis is on speed, clean code, and optimal solutions.

What Is Meta’s AI-Assisted Coding Interview?

Starting in late 2025, Meta introduced an AI-enabled coding round that replaces one of the two traditional coding rounds. This is now standard in 2026. Key differences:

  • Format: 60 minutes in a specialized CoderPad environment with a built-in AI assistant (GPT-4o mini, GPT-5, Claude Sonnet/Haiku, Gemini 2.5 Pro, Llama 4 Maverick)
  • Structure: Multi-file project that you iterate on (not two standalone algorithm problems), but still tests DSA knowledge
  • No code execution: You cannot run code during this round
  • Evaluation: Scored on judgment and verification of AI output — using AI as a productivity booster for well-defined subtasks, not as an end-to-end solver
  • What this means for prep: You still need strong fundamentals, but also need to practice reading and verifying AI-generated code quickly

Part 1: Coding Problems (Most Asked at Meta)

Meta’s coding interviews favor practical data structure problems. Trees, graphs, and string manipulation appear at very high frequency. Speed matters — practice finishing problems in under 20 minutes each.

Arrays & Strings (Very High Frequency)

  1. Two Sum - Easy
  2. Best Time to Buy and Sell Stock - Easy
  3. Product of Array Except Self - Medium
  4. 3Sum - Medium
  5. Merge Intervals - Medium
  6. Container With Most Water - Medium
  7. Subarray Sum Equals K - Medium
  8. Group Anagrams - Medium
  9. Longest Substring Without Repeating Characters - Medium
  10. Longest Palindromic Substring - Medium
  11. Minimum Window Substring - Hard

Trees (Very High Frequency at Meta)

  1. Maximum Depth of Binary Tree - Easy
  2. Invert Binary Tree - Easy
  3. Same Tree - Easy
  4. Binary Tree Level Order Traversal - Medium
  5. Validate Binary Search Tree - Medium
  6. Lowest Common Ancestor of a Binary Tree - Medium
  7. Binary Tree Right Side View - Medium
  8. Serialize and Deserialize Binary Tree - Hard
  9. Binary Tree Maximum Path Sum - Hard

Graphs

  1. Number of Islands - Medium
  2. Clone Graph - Medium
  3. Course Schedule - Medium
  4. Pacific Atlantic Water Flow - Medium
  5. Word Ladder - Hard

Linked Lists

  1. Reverse Linked List - Easy
  2. Merge Two Sorted Lists - Easy
  3. Linked List Cycle - Easy
  4. Add Two Numbers - Medium
  5. Remove Nth Node From End of List - Medium
  6. Reorder List - Medium
  7. Merge K Sorted Lists - Hard

Stacks, Heaps & DP

  1. Valid Parentheses - Easy
  2. Min Stack - Medium
  3. Daily Temperatures - Medium
  4. Top K Frequent Elements - Medium
  5. Find Median from Data Stream - Hard
  6. Coin Change - Medium
  7. Word Break - Medium
  8. Decode Ways - Medium

Part 2: System Design (E5+ / Senior and above)

Meta system design interviews focus on social-scale infrastructure: billions of users, real-time feeds, messaging, and content delivery. They value concrete capacity estimates and familiarity with social graph patterns.

What Does Meta Look for in System Design?

  • Clear requirements gathering (functional + non-functional)
  • Back-of-envelope capacity estimation with real numbers
  • Database schema design with justification for SQL vs NoSQL
  • Understanding of fan-out strategies for social feeds
  • Caching at multiple layers (CDN, application, database)

Core Fundamentals

  1. URL Shortener — Hashing, database design, caching
  2. Rate Limiter — Distributed throttling
  3. Distributed Cache — Consistent hashing, cache invalidation

Meta-Relevant Designs

  1. Twitter — News feed generation, fan-out (Facebook’s core problem)
  2. Instagram — Photo storage, CDN, social feed (Meta owns Instagram)
  3. WhatsApp — Real-time messaging, E2E encryption (Meta owns WhatsApp)
  4. Slack — Group messaging, presence, real-time sync (Workplace analog)
  5. YouTube — Video upload, transcoding (Facebook/Instagram Reels)
  6. Zoom — Video calling, WebRTC (Messenger video calls)
  7. Yelp — Location search, reviews (Facebook Places/Marketplace)

Advanced

  1. Top-K — Trending topics, heavy hitters (Facebook Trending)
  2. Web Crawler — Content indexing for Facebook Search

Supporting Concepts

Part 3: Behavioral — Meta’s “Move Fast” Culture

Meta’s behavioral interviews assess whether you embody their core cultural values. Unlike Amazon’s Leadership Principles, Meta’s approach is less structured but focuses on specific traits.

What Does Meta Value?

Move Fast — Shipping iteratively over waiting for perfection.

  • “Tell me about a time you shipped something quickly to meet a deadline.”
  • “Describe a situation where you had to trade off quality for speed. How did you decide?”
  • “What’s the fastest you’ve gone from idea to production? Walk me through it.”

Impact at Scale — Building things that affect millions or billions of users.

  • “Tell me about the highest-impact project you’ve worked on. How did you measure impact?”
  • “Describe a time you identified a high-leverage opportunity that others missed.”
  • “How do you prioritize when everything seems important?”

Be Bold — Taking calculated risks and pursuing ambitious goals.

  • “Tell me about a time you proposed a bold idea that was initially met with skepticism.”
  • “Describe a situation where you took a risk that didn’t pay off. What did you learn?”
  • “When have you challenged the status quo to drive a better outcome?”

Be Open — Transparent communication and receptiveness to feedback.

  • “Tell me about a time you received critical feedback. How did you respond?”
  • “Describe a situation where you had to give difficult feedback to a peer or manager.”
  • “How do you keep stakeholders informed about project progress?”

Build Social Value — Making the world more connected.

  • “Tell me about a project where you considered the end-user impact deeply.”
  • “Describe a time you advocated for a user-facing improvement.”

Collaboration & Conflict

  • “Tell me about a time you disagreed with your manager. What happened?”
  • “Describe a cross-functional project you led. What made it challenging?”
  • “Tell me about a time you had to influence without authority.”

How to Prepare Your Stories

Prepare 8-10 stories using the STAR method that cover:

  • Situation: Set the context (1-2 sentences)
  • Task: What was your specific responsibility?
  • Action: What did YOU do? (60% of your answer — be specific about your contributions)
  • Result: What was the measurable outcome? Use metrics: users impacted, latency reduced, revenue generated, time saved.

Meta interviewers care about velocity and impact. Every story should demonstrate that you move fast and deliver meaningful results.

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