Here's a breakdown of the topics discussed during the interview:
Introduction: Please introduce yourself.
Motivation for Internship: Why do you want to do an internship at our company?
Research Experience: Questions about past research experience and details of your research.
Process vs. Thread: What is the difference between a process and a thread?
Global Interpreter Lock (GIL): What is the Global Interpreter Lock in Python?
Array vs. List: What is the difference between an array and a list?
Linear Algebra Proof: Prove a statement from linear algebra.
Batch Normalization: What is Batch Normalization used for, and why is it better than whitening?
Complex Network: What is the most complex network you have ever built or replicated?
Ensemble Methods: Why do ensembles of networks perform better than a single network? Can you explain this from a probabilistic perspective?
Are you planning to learn Korean more?
The following metrics were computed from 1 interview experience for the Google Deep Learning Engineer role in Daejeon, South Korea.
Google's interview process for their Deep Learning Engineer roles in Daejeon, South Korea is extremely selective, failing the vast majority of engineers.
Candidates reported having mixed feelings for Google's Deep Learning Engineer interview process in Daejeon, South Korea.