Candidatei-me online. Fiz uma entrevista na empresa Amazon.
Entrevista
Consisted of a basic aptitude test, followed by a technical interview, and finally, two leadership principles-based interviews. The test was pretty basic and doesn't require any preparation, as such. The technical interview consisted of standard questions from Machine Learning, Statistics, basic programming, etc. Finally, the last 2 interviews were from hiring managers of separated teams, each introducing their teams/problems and then interviewing based on LPs.
Perguntas de entrevista [1]
Pergunta 1
Q. Questions based on Bias-Variance tradeoff.
Q. Some discussions on D-trees and Random Forests, since it was mentioned in the CV.
(Prepare all the topics well, which are in your resume)
Candidatei-me online. Fiz uma entrevista na empresa Amazon (Seattle, WA).
Entrevista
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.
Perguntas de entrevista [1]
Pergunta 1
Leadership principles / bias variance trade off / gradient explosion
Candidatei-me online. O processo levou 4 semanas. Fui entrevistado pela Amazon (Sunnyvale, CA) em jul. de 2025
Entrevista
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.
Perguntas de entrevista [1]
Pergunta 1
How does Multi-headed attention work?
What is serialization?
Candidatei-me online. O processo levou 4 semanas. Fui entrevistado pela Amazon (San Diego, CA) em jan. de 2025
Entrevista
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.