Asked questions about research (problems, difficutlies, metrics used)
asked general ML questions (Linear regression, regularization, etc)
Asked questions regarding leadership principles (make sure you have stories)
Simple coding question at the end
Interview questions [1]
Question 1
Asked questions about research (problems, difficutlies, metrics used)
asked general ML questions (Linear regression, regularization, etc)
Asked questions regarding leadership principles (make sure you have stories)
Simple coding question at the end
Phone screen interview
Then onsite interviews: 5 interviews two on coding and three on science and a tech talk
You choose a topic for the presentation
The science interviews are: one on science depth, one on science breath and one on science applications
Interview questions [1]
Question 1
Question on optimizers; comparing gradient decent, adam optimizer etc
Applied for Amazon AGI. After first round, it will go into full round of multiple interviews. Lots of modern LLM training technic questions. There are still some behavioral questions, but less than general Amazon roles.
Interviewed with 1 phone screen, 1 coding, 2 ml design and 2 lp rounds. Most questions were non-leetcode questions more related to day to day ml implementations. The questions were very practical.