Splashtop interviews FAQs
- Machine Learning Engineer applicants have rated the interview process at Splashtop 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 70.6% positive. This is according to Glassdoor user ratings.
- Candidates applying for Machine Learning Engineer roles take an average of 21 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Splashtop overall takes an average of 16 days.
- Common stages of the interview process at Splashtop as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Presentation: 13%
Skills test: 13%
Phone interview: 13%
Drug test: 13%
One on one interview: 13%
Personality test: 13%
Group panel interview: 13%
Background check: 13%
Here are the most commonly searched roles for interview reports -
- Sales Development Representative (SDR)(5) ;
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- Marketing Associate(2) .