Perfect is the enemy of the good. Look for pragmatic applicants who recognize that a “good enough” model that meets product deadlines is better than a model that sits in development awaiting “just a few more tweaks.” This quality can be hard to find, as most scientists and machine learning experts, especially those with PhDs, are often trained to seek perfection.
