Online OA. Then Two rounds of technical interview. Both interviews had both technical (first 45 minutes) and behavioral aspect (15 minutes). Technical rounds consisted of ML questions + current sota algorithms in the LLM post-training.
interview is back to back two hours, first round is ml + behavior, second round is your own paper + behavior, interviewers are nice, no leedcode during interview but I got two easy for my OA
Interview questions [1]
Question 1
really random ml questions, from rl to sft to overfitting to tokenziation to llm
plus behavior
plus your own research papers
I was asked basic knowledge in deep learning and machine learning. Also had time of explaining my research. discussed how I can apply my research to the current project. Transformer architecture, bias-var tradeoff, use of positional encoding, long-term dependencies.
HackerRank assessment with solid, fair questions. Communication with the recruiting team was clear and professional throughout the process. I was invited to two additional interviews, one focused on research depth and the other on coding skills.
Applied Scientist 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 72% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist Intern roles take an average of 25 days to get hired, when considering 124 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 Scientist Intern according to 124 Glassdoor interviews include:
Skills test: 25%
One on one interview: 23%
Phone interview: 23%
Background check: 8%
Presentation: 7%
Personality test: 5%
IQ intelligence test: 3%
Group panel interview: 2%
Other: 2%
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