The average interviewer gets very little training. You start your full-time job. You shadow a few interviews. Then you're on your own. As a result, interviews are wildly different even within the same company.
— Chip Huyen (@chipro) July 19, 2019
The average interviewer gets very little training. You start your full-time job. You shadow a few interviews. Then you're on your own. As a result, interviews are wildly different even within the same company.
— Chip Huyen (@chipro) July 19, 2019
"Explain Adam optimizer" is the most frequently asked question for machine learning roles.
— Chip Huyen (@chipro) July 19, 2019
Previous employers matter a lot. Having Google, Facebook, etc. on resume almost always guarantees an interview. College names, surprisingly, don't matter as much. Some hiring managers actually told me they're wary of recent grads from elite schools because of their "entitlement".
— Chip Huyen (@chipro) July 19, 2019
I asked interviewers and candidates for machine learning roles what are bad interview questions and these are some of their answers. What do you think are good/bad interview questions? pic.twitter.com/gorjYCuWWr
— Chip Huyen (@chipro) July 20, 2019
And companies complain why it's so hard to hire for machine learning roles. pic.twitter.com/xRjMflozVd
— Chip Huyen (@chipro) July 21, 2019