Machine Learning Engineering Manager applicants have rated the interview process at Captify 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 77.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineering Manager roles take an average of 7 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Captify overall takes an average of 23 days.
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I applied through an employee referral. The process took 1 week. I interviewed at Captify
Interview
1. Initial HR screening call
2. 1 hour 30 min technical interview with an engineering manager and two engineers, including live python test, live SQL test, system design whiteboarding, machine learning technical questions
3. 1 hour 15 min behavioural interview with an engineering manager and VP of engineering, discussing competency questions
Interview questions [1]
Question 1
Rate teams from my last 3 jobs when I joined and left
Scaling real time NLP architecture
Overfitting/evaluation metrics/word embeddings