Machine Learning Engineer applicants have rated the interview process at Windsurf with 4.3 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 48.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 9 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Windsurf overall takes an average of 23 days.
Common stages of the interview process at Windsurf as a Machine Learning Engineer according to 4 Glassdoor interviews include:
Skills test: 67%
Group panel interview: 33%
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Really difficult 2D DP leet code style problem for hours long OA. Optimal solution required, no use of output console if solution is too slow. Codebyte test interface terrible. Expected to complete problem within 3 days notice. Avoid.
Interview questions [1]
Question 1
Finding optimal sequence based on 4-5 different constraints. Combination of index constraint satisfaction and other problems.
I applied through an employee referral. The process took 3 days. I interviewed at Windsurf (San Jose, CA) in Jul 2024
Interview
Making a file replicator. They give you the codebase and you need to make changes to certain scripts in that. You need to pass the test cases for each task (replicate directories on 2 remote servers, etc)
It is an code assignment where i was given a code problem and I need to solve this. not easy at all, be prepared to spend a lot of time on it otherwise you will not correctly implement the code
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