Mastering the Amazon Machine Learning Engineer Interview: Tackling Two Sum and Leadership Principles

amazon | Machine Learning Engineer | Interview Experience

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

Interview Process

I was reached out by a recruiter on LinkedIn for this position. After submitting my resume, I had a phone screen followed by a prep call with the recruiter. During the prep call, we discussed the interview scope, which included machine learning breadth, coding, and one leadership principle, specifically focusing on “Deliver Results” under tight deadlines.

During the interview, there was no self-introduction; the interviewer immediately asked about a machine learning project I had worked on and delved into some details. However, the interviewer seemed to ramble at times. For instance, they asked about the unit of surprisal (similar to how a meter is a unit of distance). I wasn’t quite sure how to answer that, and when I asked for clarification, they just repeated what the unit was. I answered with “logarithm,” but I was unsure.

The coding question was straightforward, involving a problem like “Sum to the Target.”

Technical Questions

  1. Two Sum (Array, Hash Table)

Tips & Insights

Be prepared to discuss your previous projects in detail and brush up on fundamental concepts in machine learning. Additionally, practice coding problems that involve arrays and hash tables.