I applied online. I interviewed at Amazon (Bangalore Rural) in Oct 2022
Interview
I was shortlisted in amazon ml summer school and they give those students a chance to intern at amazon at applied science intern, there was a online test first which had 2 easy dsa questions which had to be done in 70 minutes and i was done with them in 10 min, then there were two interviews, first was focused on DSA and had 2 questions in 45 min, both were easy-medium and i was able to do them, then the final interview was on machine learning in which i am not very confident and i couldn't pass this round.
Interview questions [1]
Question 1
first OA -> 1 easy dsa questions first interview round -> 2 easy-medium dsa questions second interview -> focused on machine learning and mainly on mathematics and derivations.
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 Jul 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.