J'ai passé un entretien chez Google (Mountain View, CA)
Entretien
Very SWE-heavy. Not much care for statistical theory, ML, or data science. Mostly about A/B testing and business analytics. I feel like it would be better for them to be a bit more technically specific in distinguishing AI/ML from business analytics.
Questions d'entretien [1]
Question 1
Essentially asked to design a roadmap to test if features were good or not.
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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