Good work-life balance, nice environment, smart people.
Project can be killed. Rare promo.
It was easy and comfortable to work with Google. It's innovative, and there's a lot to learn. The interview process is not as difficult as it seems; you just have to know the basics.
The interview process consisted of three stages. The first was a coding challenge that tested problem-solving skills with algorithms and data structures. The second stage was a technical interview where the interviewer focused on machine learning con
The first interview was a peer interview. I was asked questions about ML/AI: * Explain the precision/recall tradeoff. * What is the F1 score? * How to deal with overfitting? * How to deal with certain situations of model training?
It was easy and comfortable to work with Google. It's innovative, and there's a lot to learn. The interview process is not as difficult as it seems; you just have to know the basics.
The interview process consisted of three stages. The first was a coding challenge that tested problem-solving skills with algorithms and data structures. The second stage was a technical interview where the interviewer focused on machine learning con
The first interview was a peer interview. I was asked questions about ML/AI: * Explain the precision/recall tradeoff. * What is the F1 score? * How to deal with overfitting? * How to deal with certain situations of model training?