Stanford University Machine Learning Intern interview questions
Updated Nov 14, 2024
based on 1 rating
Difficulty
Average
Experience
Very positive
How others got an interview
100%
Applied online
Applied online
Interview search
1 interviews
Stanford University interviews FAQs
Machine Learning Intern applicants have rated the interview process at Stanford University with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 66.9% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Stanford University
Interview
There were an initial behavioral round, which was followed by two technical rounds. The first technical round was an easy-medium leetcode problem and some logical thinking problems. The second technical round was a machine learning algorithm overview.
Interview questions [1]
Question 1
One of the technical questions was Course Intervals Leetcode