I applied online. The process took 5 weeks. I interviewed at Amazon in Nov 2022
Interview
Online Assessment of two easy-medium Leetcode problems. Then second round, a one-on-one conversation with an Applied Scientist. He did not show up the first time and had to re-schedule. When he did show up, he asked me very basic ML questions, and several behavioral ones based on Amazon leadership principles. He did not ask about research/background. Seemed very disinterested.
Interview questions [1]
Question 1
What is overfitting/ bias variance tradeoff/ regularization/ classification vs regression I'd love to know if there's anything one can do to get matched with better interviewers?
I applied online. I interviewed at Amazon (Seattle, WA)
Interview
I went through two rounds of technical interviews. There was no coding at all; instead, I was asked about machine learning theory concepts as well as scenario-based applications and reasoning in ML.
Interview questions [1]
Question 1
Leadership principles / bias variance trade off / gradient explosion
I applied online. The process took 4 weeks. I interviewed at Amazon (Sunnyvale, CA) in July 2025
Interview
1st round: Assessment - Easy Data Structure Questions
2nd round: ML Depth - Very detailed, asked about transformers at a root level, Optimization questions on TensorFlowRT, T5 models
3rd round: ML Breadth - Basic ML questions like overfitting/underfitting.
Interview questions [1]
Question 1
How does Multi-headed attention work?
What is serialization?
I applied online. The process took 4 weeks. I interviewed at Amazon (San Diego, CA) in Jan 2025
Interview
Two back to back interviews focussed on breadth followed by depth covering pretty much the entire landscape of machine learning. They also have a lot of Leadership principles questions embedded into the interview. The challenging part is the breadth expectation.