I’ve been assigned by my company to interview some ML research & engineer candidates. However, I myself am not an ML expert, although I’m fairly familiar with ML at the “hobbyist” level. For instance, I’ve implemented RL algorithms in Pytorch and I’m comfortable reading many ML papers, but I’m still struggling to understand Transformer. Outside of ML I would consider myself fairly strong in C++/Python, probably more so than the average ML candidate.

How can a non-ML-expert effectively interview ML candidates? What questions would you ask? If you were applying, what questions would you want someone who isn’t an ML expert to ask you?