The phone screen was straightforward, starting with some basic algorithm questions. After a few minutes of discussing my background, we dove into a coding challenge about finding two numbers that sum to a target. I enjoyed explaining both the brute-force method and the optimized hash map approach. The wild part was that I had practiced a similar problem on PracHub just a few days earlier, so it felt familiar.
Following this, there was a technical round focused on machine learning concepts, which went smoothly before I received a written offer. Overall, a positive and engaging experience.
Given an array of integers, find two numbers that sum to a target value.
Start with a brute-force O(n^2) approach, then optimize using a hash map to O(n).
Walk through edge cases:
And discuss the space-time tradeoff.
The following metrics were computed from 20 interview experiences for the Amazon Machine Learning Engineer role.
Amazon's interview process for their Machine Learning Engineer roles is very selective, failing most engineers who go through it.
Candidates reported having very good feelings for Amazon's Machine Learning Engineer interview process.