MLE intern applicants have rated the interview process at Stripe with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 45.8% positive. This is according to Glassdoor user ratings.
Candidates applying for MLE intern roles take an average of 14 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Stripe overall takes an average of 26 days.
Common stages of the interview process at Stripe as a MLE intern according to 2 Glassdoor interviews include:
Skills test: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
Solve a real-world ML question with an employee. He describes the inputs to me, but I spend too much time understanding the real meaning of each variable. Algorithm part is a simple MLP network.
I applied online. The process took 2 weeks. I interviewed at Stripe in Mar 2025
Interview
Very refined, they provide you with documents and steps on what to expect. First round is a coding interview, followed by a pair-programming round, followed by an ML knowledge test
Interview questions [1]
Question 1
They asked about constructing a dictionary that maps the product database categorised by country of origin, product ID, and so on. Need to use defaultdicts if choosing to work in Python