Machine Learning Engineer 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 Machine Learning Engineer Intern roles take an average of 42 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 Machine Learning Engineer Intern according to 2 Glassdoor interviews include:
Phone interview: 33%
Other: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
Got a HackerRank-style coding interview. The questions were not traditional-style LeetCode questions. It was a long, project-format question with 1 hour on the clock. While the question was not super difficult, the time constraint made it quite challenging.
I applied online. The process took 6 weeks. I interviewed at Stripe in Dec 2021
Interview
It was Hackerrank's online assessment. There was one question related to building a loan system. The next round is the Techincal Interview regarding Algorithms questions. The overall interview process is 5 rounds.
Interview questions [1]
Question 1
Build a loan system for customers to create, pay, increase, decrease their loan.