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I think we are still very bad at ML interviews and more the community can discuss and weed out bad practices, the better it is for everyone — employees, employers, aspirants, companies and the field itself.
Chip Huyen on Twitter made this nice thread on the topic: https://twitter.com/chipro/status/1152077188985835521
Does this resonate with your experience? Do you have tips or insights into ML interviews? Please consider sharing it with the community!
PS: I don’t think this thread is particularly applicable to Research Scientist roles at Facebook, Google, DeepMind, OpenAI etc., So if anyone has interesting analyses or stories of those interviews, do consider sharing them.
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