Machine Learning Intern applicants have rated the interview process at X with 3.5 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 39.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Intern roles take an average of 7 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at X overall takes an average of 29 days.
Common stages of the interview process at X as a Machine Learning Intern according to 2 Glassdoor interviews include:
One on one interview: 29%
Presentation: 29%
Group panel interview: 14%
Phone interview: 14%
IQ intelligence test: 14%
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 1 week. I interviewed at X (College Station, TX) in Feb 2019
Interview
Went till two rounds
1. A coding interview about getting a soft measure to decide if we need to count or not count a bigram into final features and CV projects discussion
2. Projects discussion with Engineering manager
I applied through a recruiter. The process took 1 week. I interviewed at X (San Francisco, CA) in Aug 2021
Interview
LeetCode medium and hard, basic recommender and ranking system design. Interviewers were hard to understand and didn’t explain questions very well. Behavioral interview was repetitive questions about my previous experiences (asked to give negative and positive performance self-review)
Interview questions [1]
Question 1
“Diversify” a list of tuples, containing a post author and its rank