I’m not sure that you’d rather have a mathematician or statistician who can code for all cases with ML. At least at universities I’ve gone to, even the main research in these areas is going on in CS/ECE departments or some in the stats department. Implementing non-novel ML stuff seems like most of the difficulty would be in data movement etc. since you can use the big frameworks for most easy things. Even testing new stuff at small scales might involve lot of eg fiddling in MATLAB and testing on examples rather than only proving theorems
Of course the “CS students” I work on these topics with are more math heavy CS graduates (some sort of have a complex about not being in the math department) rather than someone who is extremely good at coding and only took the calculus sequence necessary to graduate with his CS degree.
Of course the “CS students” I work on these topics with are more math heavy CS graduates (some sort of have a complex about not being in the math department) rather than someone who is extremely good at coding and only took the calculus sequence necessary to graduate with his CS degree.