The interview process consisted of an initial recruiter call followed by a technical phone screen and an onsite loop with three sessions. These included a mix of machine learning fundamentals, applied research problems, and behavioral interviews using the STAR method. The interviewers were well-prepared, and the questions were aligned with Amazon’s leadership principles. Overall, the experience was structured and challenging but fair.
Interview questions [1]
Question 1
Tell me about a time you had to influence a decision without having authority?
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.