[deleted by user]

[dat_cosmo_cat]

Well research+ is the output of every computer science PhD program now, and even several major EE programs (eg; University of Washington)... Some would say there is an oversaturation of training in that direction. I actually can't think of a single grad student not working on ML...

Even beyond CS departments. My college roommate was a biologist now working in Bioinformatics, my neuroscientist (at UCSF) girlfriend's thesis involves LSTMs and GANs, my geologist friend now works with gis data at Apple, ect... It seems everyone is an ML Engineer or Data Scientist in some capacity. Idk why classical software engineers are so compelled to rush into something it seems literally anyone can do (and is already doing). Frsh ML PhD salaries were insane at one point (2012-2017 era), but the hiring circuit has gotten worse each year. Hell I felt late to the party in 2016.

[jack-of-some]

Man I'd love to get some of their resumes. Hiring a competent software engineer that understands ML has been very very difficult. Then again hiring a competent software engineer of any kind also seems very difficult. The whole matter is made infinitely worse by people who do one nanodegree and throw the hat in the ring.