It could also be that the younger engineers are engineers by training, while the more senior members of the team are Phd's in the field. What I'm trying to say

It could also be that the younger engineers are engineers by training, while the more senior members of the team are Phd's in the field. What I'm trying to say is that Phd's come from an academic research background, while engineers come from a product focused background. The deep learning field is still dealing with a lot of unknowns, counter-intuitive responses to modifications, and pure experimentation. The engineers might just not realize the need for continued experimentation, and, for them, it may just feel like an undesirable waste of time to fiddle with parameters (as in, taking away time from developing the actual product). It's an alternate point of view, but something that I experienced.