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"In fact, most data science and ML engineers are quite skilled in systems engineering, because you have to do so much work with GPU hardware issues, underlying
by amznthrowaway5 6y ago
"In fact, most data science and ML engineers are quite skilled in systems engineering, because you have to do so much work with GPU hardware issues, underlying scientific package management, efficient data transportation, etc."
This does not align with my experience working with many data/applied scientists at very large companies. A lot of them cannot even write basic code or use git commands. The engineers who are capable are often silo'd away from the scientists, and the organizations struggle to produce any real value.
- mlthoughts2018 6y agoI’m sorry you’ve had such a rare and incredibly uncommon, unrepresentative experience. It sounds very idiosyncratic to your workplace and likely to the hiring processes.
- amznthrowaway5 6y agoWhy do you suspect this experience is so rare and unrepresentative, as opposed to yours? It is a company wide problem in the cases I've seen, the scientist positions are not even expected to have junior software engineer level competence in things like programming.