Experienced dev here who took a machine learning class and found it interesting. Could I get a position in it now? Would anyone hire a grey-haired ML junior? So far my experience says no, but may be bad luck so far.
“It depends”: what’s your prior experience, what kind of roles interest you, how big is the gap between what you have + a little ML knowledge/side projects?
I’d argue there’s a big need for people with solid fundamental CS, sysadmin, infra skills who can bridge the gap into ML practitioner/researcher understanding. Applications or inference generally are probably easiest to break into, especially if you already have service knowledge. If you want to work on distributed training or kernel/model optimization, you probably need to prove your chops there.
Neoclouds, startups in the AI space, maybe hw vendors are probably good places to look.
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Experienced dev here who took a machine learning class and found it interesting. Could I get a position in it now? Would anyone hire a grey-haired ML junior? So far my experience says no, but may be bad luck so far.
“It depends”: what’s your prior experience, what kind of roles interest you, how big is the gap between what you have + a little ML knowledge/side projects?
I’d argue there’s a big need for people with solid fundamental CS, sysadmin, infra skills who can bridge the gap into ML practitioner/researcher understanding. Applications or inference generally are probably easiest to break into, especially if you already have service knowledge. If you want to work on distributed training or kernel/model optimization, you probably need to prove your chops there.
Neoclouds, startups in the AI space, maybe hw vendors are probably good places to look.
https://news.ycombinator.com/item?id=45801184
Not mentioned but I've also watched almost all of the 3b1br videos. ;-)