Amazon | Applied Scientist Intern | India

Status: M-Tech CSE student, old IITs
Position: Applied scientist intern (6 months) at Amazon
Location: Bengaluru (in person)
Date: Dec 1st, 2023 (whole process after application took 2-3 weeks)

Application:

Applied through ML summer school, 2023. Amazon releases a form after the event for participants who wish to apply for internships and FTE roles.

Hackerrank OA:
2 LC easy questions. Much easier than Amazon SDE OA questions.

Technical phone screen (1 hour):

Behavioral questions for first 5 mins like favorite project etc. Might have been just icebreakers.
1 easy BFS question (shortest path in graph w unit edges), 1 medium/hard BST question. Was not allowed to use standard library for BST question. I felt like the interviewer wanted to me to implement a balanced binary search tree from scratch but thankfully they accepted just the logic.

2nd ML round (1 hour):

Asked questions about ML projects and work experience for first 15 mins.
Then moved to deep learning stuff like RNNs, Transformers etc.
Last 30 mins was only about ML. Especially decision trees - Amazon seems to be obsessed with them for some reason. Interviewer was following a wierd convention here and expected answers to perfectly fit within their lingo, did not accept any explanations.

Result: Received offer. Rejected because I had another good FTE offer in hand and there was very less chance of getting a return offer (afaik no return offers in last 2 yrs).

Offer details: https://leetcode.com/discuss/compensation/4841618/amazon-applied-scientist-6-month-intern-india/2290045