Meta E5 virtual onsite 面经 | Meta代面试 | 面试辅助 | Meta intern

最近完成了 Meta E5 的 virtual onsite 面试，这轮面试感觉节奏很紧凑，但整体体验还蛮顺畅的。整个过程分三轮，涵盖 coding、系统设计和 behavioral，每一环节都很注重思路和沟通。因为是线上形式，面试官会通过共享屏幕和线上协作工具来查看你的代码，互动比传统现场更直接，也更考验你的表达能力。本文会详细拆解各轮面试流程、典型题型以及我的复盘心得，帮大家更好地把握 Meta E5 的面试节奏和考点。

There are a total of 5 rounds in the entire interview.

Tech Screen

1. Problem 1:Valid Palindrome
   • Straightforward string manipulation question.
   • Key focus: proper use of two-pointer technique.
2. Problem 2:Vertical Order Traversal of a Binary Tree
   • Involves BFS or DFS with sorting by column and row.
   • Important to demonstrate clarity in traversal techniques and hashmap usage.

Round 1: Coding

• Interviewer: U.S.-based engineer.
• Problems:
  1. Binary Tree Right Side View (variation)
     • “Double view” variation: left view (bottom→top) and right view (top→bottom).
     • Approach: BFS/DFS for both views, handling traversal order correctly.
  2. Custom Sort String
     • Sort a string based on a custom character order.
     • Key focus: efficient mapping via a hashmap.

Round 2: Coding

• Interviewer: Indian engineer.
• Problems:
  1. Simplify Path
     • Stack-based string manipulation.
     • Edge cases: “////” or “..”.
  2. Lowest Common Ancestor of a Binary Tree III
     • Uses parent pointers.
     • Two-pointer approach similar to linked list intersection.

Round 3: Behavioral

• Interviewer: U.S.-based engineer.
• Focus:
  • Standard BQ on conflict, leadership, cross-team work.
  • Advice: Use STAR and align examples to FAANG leadership principles.

Round 4: Product Architecture

• Interviewer: Indian engineer.
• Topic: Fitness Tracking App Design
  • Data model for steps, calories, GPS.
  • Real-time analytics & notifications.
  • Scaling for high concurrency.
  • Focus on architectural trade-offs.

Reflections and Tips

1. Behavioral:
   • Highlight leadership, decisions, results.
   • Prepare examples matching FAANG principles.
2. Product Design:
   • Use “Grokking the System Design Interview.”
   • Understand scalability, data modeling, trade-offs.
3. Coding Rounds:
   • Expect LeetCode medium–hard, FB top questions.
   • Clean code, cover edge cases, communicate clearly.
4. Grid Problems:
   • BFS for grid traversal (e.g., robot & obstacles).
   • Write modular, testable code handling edge cases.
5. Tech Stack:
   • It’s okay to discuss language trade-offs (e.g., Java verbosity).

Preparation Resources

• Coding: LeetCode (FB Top, system design).
• Behavioral: STAR, FAANG principles.
• Design: Grokking, real-world case studies.

Reference

Meta | 一亩三分地
Meta Onsite

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