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.
In the technical round, I faced a challenging A/B testing question regarding YouTube thumbnails that pushed my analytical skills. I was also asked to discuss metrics for evaluating user engagement, which had me thinking on my feet. The behavioral section was tough, but I found the principles I studied on PracHub to be incredibly relevant. The overall experience was intense and demanding, yet I received an offer in the end. Ultimately, I decided to decline, as I felt it wasn't the right fit for my career goals.
Questions d'entretien [1]
Question 1
Design an A/B test to evaluate the impact of a new YouTube homepage thumbnail design on user watch time. How would you choose the success metric, sample size, and handle novelty effects?
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 (Mountain View, CA) en avr. 2026
Entretien
Got email from the HR and scheduled 2 virtual onsite interviews. It went well. I went through another 3 rounds of VO. My packet was submitted to the committee. They do not like it and gave me another round of VO. In the 6th round VO, my application got rejected. It was a total waste of time for everyone.