Me postulé en línea. El proceso tomó 3 semanas. Acudí a una entrevista en Google (Los Angeles, CA) en mar 2016
Entrevista
I saw the poster and decided to apply through their website. A week later a recruiter called me, collected more information about me (this took another week) and arranged a phone interview. I was interviewed for about an hour and a week later I was informed that I had been declined.
Preguntas de entrevista [1]
Pregunta 1
Performance of two ads. How to measure and compare the performance of two ads, possible reasons for the difference, and how to design new ads to support such reasons.
- Asked foundational questions about key definitions and terminology to assess baseline understanding of core concepts
- Completed a timed online coding assessment covering practical programming challenges and problem-solving ability
30 minute phone screen with HR, followed by an interview with the hiring manager. HR would not even provide a salary range for the role, which was very weird. The HR rep was not familiar with the role and seemed to be reading from the JD when I asked questions about it.
Me postulé a través de una recomendación de un empleado. El proceso tomó 2 meses. Acudí a una entrevista en Google (Seattle, WA) en ago 2021
Entrevista
Recruiter screen > tech screen > 5 tech sessions at remote "onsite"
Tech screen: all statistics written in easy python
On-site: python for SQL-style queries, one session focused on stats/probability, majority of sessions had some probability in it, some question were extremely open ended, hierarchical statistical models, optimization and creating penalty functions, bootstrapping, small sample statistics
Preguntas de entrevista [1]
Pregunta 1
you are given a discrete probability distribution of children, what is the probability a random women you meet on the street has a sister?
Two variables x1 and x2. They are correlated but aren't the same. X3 = X1-X2 and X4 = X1+X2. What are the coefficients for x1 and x2 if you train logit for x3 and x4
1000 ad videos, 1000 human raters
Assess the quality of videos, 100 randomly selected videos to each rater, Rate video between 1 (bad) and 10 (good) quality. How would you rate these? What are the pros and cons of your strategy?
clustered statistical modeling question about how you would set data up for this model and what model you would use.
