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.
Interview questions [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
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
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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