Top Meta Interview Questions 2025

at 28 Feb, 2025

Try Aihirely for
Smarter Interview Prep

Experience real-time AI support tailored to your Resume.

Boost your confidence and ace every question with
AI Mock Interview.

Meta Interview Questions: A Comprehensive Guide to Ace Your Next Interview

Preparing for a Meta (formerly Facebook) interview? Whether you’re applying for a Software Engineer, Data Scientist, or AI Residency role, understanding the interview structure, common questions, and preparation strategies is critical. This guide provides actionable insights, real-world examples, and step-by-step breakdowns to help you succeed.

Meta Interview Process Overview

Meta’s interview process typically spans 4–8 weeks and includes multiple rounds:

  1. Initial Screening: A recruiter call to discuss your resume, experience, and alignment with Meta’s values.
  2. Technical Rounds:
    • Coding Interviews: 45–60 minutes per round, focusing on problem-solving, code structure, and debugging.
    • System Design: For senior roles (E4+), expect questions on scalable architectures or product-specific challenges.
    • Behavioral Interviews: Questions about collaboration, leadership, and past projects.
  3. Team Matching: Successful candidates may undergo additional interviews to align with specific teams (common for AI Residency and specialized roles).

Common Meta Interview Questions

1. Coding Questions

Meta emphasizes clean, bug-free code and clear communication. Examples include:

  • Algorithm Challenges:
    • Next Permutation: Implement the next lexicographical permutation of numbers.
    • Boundary Condition Checks: Solve problems requiring edge-case validation (e.g., handling empty inputs or overflow scenarios).
  • Data Structures:
    • Tree Traversal: Optimize BFS/DFS for time and space complexity.
    • Hash Tables: Design efficient lookups for large datasets.

Pro Tip: Use C++ or Python for their STL/library advantages, but avoid language-specific pitfalls (e.g., integer overflow in C++).

2. System Design Questions

Senior roles (E5+) often tackle open-ended design problems:

  • Design a Social Media Feed: Prioritize scalability, latency, and consistency.
  • Optimize Ad Delivery Systems: Discuss trade-offs between real-time processing and batch workflows.

Key Evaluation Criteria: Ability to compare solutions, justify design choices, and address trade-offs.

3. Behavioral Questions

Meta evaluates cultural fit through scenarios like:

  • Collaboration: “Describe a project requiring cross-team coordination. How did you resolve conflicts?”
  • Leadership: “How did you mentor junior engineers or drive technical decisions?”

What Meta Looks For: Proactiveness, clarity in communication, and impact-driven mindset.

4. Data Science/Analytics Questions

For DS/DE roles, expect a mix of SQL, statistics, and case studies:

  • SQL Challenges:
    • Calculate Acceptance Rate: Using tables like friend_request and request_accepted, compute the overall acceptance rate.
  • Statistical Problems:
    • Expected Payout: “If you roll a die until you get a 5, what’s the expected payout?”
  • Case Studies:
    • Estimate Daily Birthday Posts on Facebook: Break down user demographics and engagement patterns.

Preparation Strategies

1. Master the Basics

  • Algorithms & Data Structures: Focus on arrays, graphs, recursion, and dynamic programming. Meta frequently tests medium-to-hard LeetCode problems.
  • Practice Coding by Hand: Use simple text editors (e.g., CoderPad) to simulate interview conditions without autocomplete.

2. Simulate Real Interviews

  • Mock Interviews: Replicate Meta’s format with timed sessions and verbalized problem-solving.
  • Behavioral Prep: Use the STAR (Situation, Task, Action, Result) framework to structure answers.

3. Study Meta-Specific Resources

  • Internal Guides: Meta provides preparation documents outlining evaluation criteria (e.g., problem-solving, code quality).
  • Leverage PH求职 & 直通硅谷: These platforms offer curated Meta面经 (interview archives) with 30+ pages of role-specific insights.

Conclusion: Meta Interview Questions

Cracking Meta interviews requires technical excellence, clear communication, and strategic preparation. By practicing coding challenges, refining system design skills, and mastering behavioral storytelling, you’ll stand out in a competitive hiring landscape. For more role-specific tips (e.g., AI Residency or Data Scientist), explore our detailed guides or connect with Meta-aligned coaching platforms.

Meta interview questions demand both depth and adaptability—start preparing today!

Share aihirely to :