Machine Learning applicants have rated the interview process at PayPal with 2 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 50.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning roles take an average of 30 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at PayPal overall takes an average of 25 days.
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at PayPal
Interview
Three rounds:
1st) Machine Learning and Stats questions
2nd) Machine Learning, Stats, and coding in Python or SQL
3rd) On-site: Machine Learning, Business Acumen, Coding, and Behavioral.
There's more coding in Python than in SQL. You can find 1 or 2 questions in SQL at most.
Interview questions [1]
Question 1
Q: Explain the difference between boosting and bagging
Q: How do LSTMs solve the vanishing gradient descent problem.