J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Google en déc. 2016
Entretien
Submit resume online, answer a questionnaire with about 20 questions. Then a HR arranged a phone interview and attached a review guide. I followed the guide for reviewing. But during the interview, most of questions are from my keys words in my resume. So understand and prepare explaining everything in your resume.
Questions d'entretien [1]
Question 1
1. Why use feature selection? If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?
2. K- mean and Gaussian mixture model: what is the difference between K-mean and EM?
3.How to decided k?
4.When using Gaussian mixture model, how do you know it is applicable? (Normal distribution)
4.If the labels are known in the clustering project, how to evaluate the performance of the model? In my project, I use adjusted rank index? But I forgot how it is defined.
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
J'ai postulé en ligne. J'ai passé un entretien chez Google
Entretien
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
J'ai passé un entretien chez Google (Mountain View, CA)
Entretien
Applied at PhD level so I had two back to back technical interviews. One all stats concepts and the other talking over a hypothetical experiment design and walking through my thought process.
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