Cracking Google’s Machine Learning Intern Interview: Tackling Linked List & Water Distribution Challenges

google | Machine Learning Intern | Interview Experience

Interview Date: Not specified
Result: Rejected
Difficulty: Not specified

Interview Process

The interview consisted of two rounds. In the first round, I was asked to extract all nodes from a linked list that meet certain criteria, with a follow-up question regarding the top k elements. The second round focused on a water distribution problem where I needed to design a system to minimize the number of buckets used while ensuring all buckets have the same limited capacity and the maximum water capacity of the buckets is minimized. A follow-up question involved a scenario where a total of x + y liters of water needed to be distributed, with the first bucket required to hold x liters.

Technical Questions

  1. Linked List Filter (Linked List, Filter)
  2. Water Distribution Problem (Greedy, Sorting, Optimization)

Tips & Insights

Be prepared to solve algorithmic problems that require both understanding of data structures and optimization techniques.