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Deep Learning Engineer Interview Experience - Daejeon, South Korea

June 1, 2019
Neutral ExperienceNo Offer

Process

Here's a breakdown of the topics discussed during the interview:

  1. Introduction: Please introduce yourself.

  2. Motivation for Internship: Why do you want to do an internship at our company?

  3. Research Experience: Questions about past research experience and details of your research.

  4. Process vs. Thread: What is the difference between a process and a thread?

  5. Global Interpreter Lock (GIL): What is the Global Interpreter Lock in Python?

  6. Array vs. List: What is the difference between an array and a list?

  7. Linear Algebra Proof: Prove a statement from linear algebra.

  8. Batch Normalization: What is Batch Normalization used for, and why is it better than whitening?

  9. Complex Network: What is the most complex network you have ever built or replicated?

  10. Ensemble Methods: Why do ensembles of networks perform better than a single network? Can you explain this from a probabilistic perspective?

Questions

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Interview Statistics

The following metrics were computed from 1 interview experience for the Google Deep Learning Engineer role in Daejeon, South Korea.

Success Rate

0%
Pass Rate

Google's interview process for their Deep Learning Engineer roles in Daejeon, South Korea is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive0%
Neutral100%
Negative0%

Candidates reported having mixed feelings for Google's Deep Learning Engineer interview process in Daejeon, South Korea.

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