Actually evaluating your knowledge is hard. Picking something to be a rough litmus test and testing that, despite it not being directly related to the job seems

Actually evaluating your knowledge is hard. Picking something to be a rough litmus test and testing that, despite it not being directly related to the job seems reasonable. It has been 3 years since I interviewed somebody for a ML position. Mostly I focused on knowledge of model execution. Most ML libraries were horrible for use in production at the time and I was more worried that a candidate wouldn't be able to productionize a good model than I was worried they wouldn't be able to build that model.