Machine Learning Intern applicants have rated the interview process at Wayfair with 3.5 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 51.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Intern roles take an average of 21 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Wayfair overall takes an average of 22 days.
Common stages of the interview process at Wayfair as a Machine Learning Intern according to 2 Glassdoor interviews include:
Phone interview: 100%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Wayfair in Nov 2021
Interview
The interview was 45 minutes long. A Ph.D. graduate asked me questions on search engine optimization. He started with simple questions but got into more depth as each questions progressed.
Interview questions [1]
Question 1
What layer should be used as the final layer in case of multi-label classification?
Which metric should be used if the data is skewed for multi-label classification?
I applied online. The process took 4 weeks. I interviewed at Wayfair
Interview
online assessment:
Q1: given an int N, fin a smallest int greater than N and the sum of the digit of int equal to the sum of the digit of N
Q2: euclidean distance -999 == inf
Interview questions [1]
Question 1
online assessment:
Q1: smallest int greater than N that sum == N
Q2: euclidean distance