Electrical engineers on the brink of extinction threaten entire tech ecosystems

Re:Electrical engineers on the brink of extinction threaten ... by colinmhayes on Monday July 18, 2022 @10:33PM (#32146877)

There aren’t any people over the age of like 35 who started their career in data science. Careers are sticky, people don’t like switching once they’re in one. They’re being trained quickly and I think you’re right, the salary used to be higher than a normal software dev but that doesn’t seem to be the case anymore.

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Re:Electrical engineers on the brink of extinction threaten ... by runnerup on Monday July 18, 2022 @11:35PM (#32147252)

More like no one hires you into a new career after 35. I’m 34 now and it was hell getting into software engineering from chemical engineering even with good project experience and acing leetcode.

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Re:Electrical engineers on the brink of extinction threaten ... by visarga on Tuesday July 19, 2022 @12:34AM (#32147581)

I switched from full stack to ML at 38. I was preparing for a few years by doing courses, personal projects and following new papers as they come up. When I got hired there was no issue with the fact that I was self trained - they have been interviewing for 6 months and failing every candidate by then.

Soon after I got hired I was myself part of the interviewing committee and saw the hiring situation first hand - most candidates can't program their way out of a shoe or explain how the most commonly used neural net layers work. I mean, I had one who couldn't open a TXT file in 30 minutes, the data file he was supposed to use in the problem.

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Re:Electrical engineers on the brink of extinction threaten ... by mint2 on Tuesday July 19, 2022 @01:25AM (#32147846)

Same, I miss Cheme and actually doing work on physical systems. But applied DS is more lucrative and so much more flexible in work location. DS is way easier although the stats and programming does throw many people off

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