Introduction to Machine Learning Interviews Book

As a candidate, I’ve interviewed at a dozen big companies and startups. I’ve got offers for machine learning roles at companies including Google, NVIDIA, Snap, Netflix, Primer AI, and Snorkel AI. I’ve also been rejected at many other companies.

As an interviewer, I’ve been involved in designing and executing the hiring process at NVIDIA and Snorkel AI, having taken steps from cold emailing candidates whose work I love, screening resumes, doing exploratory and technical interviews, debating whether or not to hire a candidate, to trying to convince candidates to choose us over competitive offers.

As a friend and teacher, I’ve helped many friends and students prepare for their machine learning interviews at big companies and startups. I give them mock interviews and take notes of the process they went through as well as the questions they were asked.

I’ve also consulted several startups on their machine learning hiring pipelines. Hiring for machine learning roles turned out to be pretty difficult when you don’t already have a strong in-house machine learning team and process to help you evaluate candidates. As the use of machine learning in the industry is still pretty new, a lot of companies are still making it up as they go along, which doesn’t make it easier for candidates.

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