Machine Learning Engineer applicants have rated the interview process at Smart Data Solutions 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 43.3% 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 1 user submitted interviews for this role. To compare, the hiring process at Smart Data Solutions overall takes an average of 18 days.
Common stages of the interview process at Smart Data Solutions as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Other: 25%
Skills test: 25%
Phone interview: 25%
One on one interview: 25%
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The process took 2 weeks. I interviewed at Smart Data Solutions (Eagan, MN) in Apr 2023
Interview
Total Two rounds
Prescreening Round with recruiter [30min]
Round 1: Take Home assessment (preferred 3 days completion)
Round 2: Interview with Manager [1 hour] scheduled 2 weeks after submitting the assessment.
Interview questions [1]
Question 1
Q: Difference between supervised and unsupervised learning?
The company has decent management but poor teamwork, offers a very low salary, requires extremely long working hours, and leaves employees exhausted with absolutely no personal life or work-life balance.