Computer Vision Intern applicants have rated the interview process at Scale 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 37.4% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Scale as a Computer Vision Intern according to 1 Glassdoor interviews include:
Skills test: 33%
Personality test: 33%
One on one interview: 33%
Here are the most commonly searched roles for interview reports -
Take home project - to train a rotational bounding box object detection on a generated dataset Interview - types of distributions, when to use the appropriate distributions, numpy and pandas related basic questions (allowed to google)
Interview questions [1]
Question 1
why did you use this loss function in your take home project? can you tell me a bit more about the hardware accelerator related tools you have mentioned in resume?