Applied Science Intern applicants have rated the interview process at Amazon with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 53% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Science Intern roles take an average of 31 days to get hired, when considering 15 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 28 days.
Common stages of the interview process at Amazon as a Applied Science Intern according to 15 Glassdoor interviews include:
One on one interview: 27%
Skills test: 23%
Phone interview: 19%
Personality test: 12%
Group panel interview: 8%
Drug test: 4%
Presentation: 4%
Background check: 4%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. I interviewed at Amazon in Oct 2022
Interview
I got referred by an internal employee. Then within a week I got contacted to start the interview process with an online assessment (2 medium-level leetcode problems). Now I am going to the second round which is a 60min interview with someone of the Applied Science team, covering science breadth and depth questions and behavioral questions.
Interview questions [1]
Question 1
in the online assessment 2 medium-level leetcode problems
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.