Meta E5 London Interview Details
June 12, 2025 · 30 reads
Summary
I interviewed for an E5 role at Meta in London and was assessed on Data Structures & Algorithms, System Design, and Behavioral aspects through various rounds.
Full Experience
Here's the list of questions I was asked during my Meta E5 Interview Process.
Screening:
- Average of all the sub arrays of Length K
- https://leetcode.com/problems/copy-list-with-random-pointer/description/
DSA-1
- https://leetcode.com/problems/valid-palindrome/description/
- https://leetcode.com/problems/minimum-remove-to-make-valid-parentheses/description/
DSA-2
- https://leetcode.com/problems/binary-tree-vertical-order-traversal/description/?envType=company&envId=facebook&favoriteSlug=facebook-thirty-days
- https://leetcode.com/problems/merge-intervals/description/?envType=company&envId=facebook&favoriteSlug=facebook-thirty-days
DSA-3:
- https://leetcode.com/problems/diameter-of-binary-tree/description/?envType=company&envId=facebook&favoriteSlug=facebook-thirty-days
- https://leetcode.com/problems/basic-calculator-ii/description/?envType=company&envId=facebook&favoriteSlug=facebook-thirty-days
System Design:
Design a Video Streaming Service like Netflix:
- View Videos
- Start from where they left off
- Recommend good movies based on their interest
Thanks to Hello Interview for System Design Preparations!
Interview Questions (9)
1.
Average of Subarrays of Length K
Data Structures & Algorithms
Given an array, find the average of all contiguous subarrays of a specific length K.
2.
Copy List with Random Pointer
Data Structures & Algorithms
3.
Valid Palindrome
Data Structures & Algorithms
4.
Minimum Remove to Make Valid Parentheses
Data Structures & Algorithms
5.
Binary Tree Vertical Order Traversal
Data Structures & Algorithms
6.
Merge Intervals
Data Structures & Algorithms
7.
Diameter of Binary Tree
Data Structures & Algorithms
8.
Basic Calculator II
Data Structures & Algorithms
9.
Design a Video Streaming Service (Netflix-like)
System Design
Design a video streaming service similar to Netflix, capable of viewing videos, resuming playback from where users left off, and recommending movies based on user interests.
Preparation Tips
Thanks to Hello Interview for System Design Preparations!