Onsite interview was a research talk, two research interviews, and two coding interviews. Research interview was half on my research and half on basic machine learning and probability. The interviewers were very friendly and professional.
Interview questions [1]
Question 1
Describe the process of designing a deep learning model
I applied online. The process took 2 weeks. I interviewed at Google (Mountain View, CA) in Jul 2020
Interview
The interview was about an hour long. Roughly 40-50 minutes were allocated for the interview process and the remaining 10-20 were left for me to ask questions. I was asked a series of introductory questions related to my research, after which conversation specified around methods that I have used in my research. The interviewer then gave examples of work situations related to data and asked how I might go about solving problems. Finally, the interviewer asked me to code in front of them in my preferred coding language of choice.
Interview questions [1]
Question 1
How would you find the 95% confidence intervals for a given mean?
I applied through an employee referral. The process took 2 months. I interviewed at Google (Mountain View, CA) in Jan 2019
Interview
For the onsite interview, I had to do a 1-hour presentation and had 5 interviews with Googlers. Of the 5 interviews, 2 focused on coding skills and 3 focused on research topics.
Interview questions [1]
Question 1
For the coding interviews, I have to design algorithms, discuss run-time complexity, etc.