Nextdoor Machine Learning Engineer interview questions
Average interview difficulty
Mixed interview experience
How others got an interview
Interview search
11 interviews
Nextdoor interviews FAQs
- Machine Learning Engineer applicants have rated the interview process at Nextdoor with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 47.6% positive. This is according to Glassdoor user ratings.
- Candidates applying for Machine Learning Engineer roles take an average of 14 days to get hired, when considering 10 user submitted interviews for this role. To compare, the hiring process at Nextdoor overall takes an average of 23 days.
- Common stages of the interview process at Nextdoor as a Machine Learning Engineer according to 10 Glassdoor interviews include:
Phone interview: 36%
One on one interview: 36%
Skills test: 21%
Background check: 7%
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