Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Google (Mountain View, CA) en jun 2015
Entrevista
Two perfunctory technical phone calls were followed by four interviews onsite at Google HQ. Several of those interviews, despite being onsite, were done via videoconference because the interviewers were unable or unwilling to be there in person.
Interviewers declined to answer basic questions about their roles in any detail or even give their last names. At no time was any specific detail about the job (location, team) shared.
- 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.
