The overall interview rounds are ok, except that the environment setup instruction prior to the interview doesn't really match well with their real case during the interview. But overall the interview design is reasonable and I don't want to blame the rejection or my underperformances on some rounds on the interview process itself, after all the interview's performance is a combination of ability and luck. What makes me feel nauseous is the HR's attitude after the interview. I asked for this call with the HR because I have multiple other interviews ongoing and wanted to get some constructive feedback. Besides the rejection letter is very well written and it seems like they cared about the candidates and potential future opportunities, and it particularly mentions that she would be "more than happy" to have a call with me. But No. The HR started the call with this arrogant attitude saying that I can only re-apply after 1 year (emphasizes it a few times during the 5-min call) and she doesn't have much details to be shared for the interview. Who says anything about re-apply???? Come on there are tons of opportunities out there and what makes you think people want to stick with you??? This completely opposite attitude just shows how hypocrite this company is. It acts like this caring culture but in fact it's totally opposite. I guess those "rumor" about the company's abusive culture doesn't come out of nowhere.
Interview questions [1]
Question 1
programming, ml design, ml integration, bug squash, hiring manager chat
I applied through an employee referral. I interviewed at Stripe (San Francisco, CA) in June 2026
Interview
Pre-onsite step has two rounds. One is ML integration round. You need to work with a pre-loaded dataset, process the data and train a model. Another one is a programming problem with a few tasks. 2hrs in total.
Interview questions [1]
Question 1
Process the data and train a predictive model for the target. What is data normalization used for?
Online Assessment — The first round of interviews is scheduled to include both coding and machine learning problems. Overall, the process appears to follow a fairly standard interview procedure, beginning with technical assessment before moving into later-stage evaluations.
I applied through a recruiter. I interviewed at Stripe in Apr 2025
Interview
2 technical screens (coding, ml coding), onsite was 4 rounds (coding, debugging, system design, hiring manager). Coding questions were OOP and class oriented. Problems were practical, the ml coding round had a dataset provided and you had to build and evaluate a model in 1h.
Interview questions [1]
Question 1
system design had an emphasis on real time deployment