Hello everyone, As a ML/DS hiring manager, I have found that the biggest challenge for finding the right talent is having to flip the rock and try hard to "spot" the hidden gems. Must also be my personality, I reviewed everyone's resume (not just the ones filtered by the recruiter), hoping not to miss someone, anyone good! Here are some concrete examples: a) someone from University of Wisconsin-Madison, Phd in Math, data scientist in personalization/pricing etc. great experience. Although I was looking for someone who may have some experience in voice NLP, I thought... perhaps I could talk with this person. b) someone from MIT with Phd in stem, strong researcher, listed some papers hard to understand, but I thought about it for a few min, the hard-to-understand paper might be relevant to what I need. However, my recruiter disagreed. They were screened out. I begged to talk with them. I hope to help people to get really "spotted".

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