this post was submitted on 31 Oct 2023
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Machine Learning
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OP, I am one of the more experienced and knowledgeable recruiters. I don’t want to dox myself but there’s a good chance my network is representative of your target jobs market.
I will echo what others have said: New Grad hiring is not an active activity in the top ML projects, as in, there is no headcount for entry level positions almost anywhere.
Where you start your career matters more than most people think. There is absolutely a career inertia that is very difficult to break out of in a career trajectory.
I would recommend waiting until the market has returned so that you can choose between a number of options, instead of taking the hard fought roll-the-dice opportunity today. It will pay long term dividends.
I'd love your input given your experience.
I am in a slightly different situation, having graduated with a masters a year ago and worked in a university research lab since. Now, I'm out of the lab and trying to stay afloat on contracting work. What's your perspective of maintaining career intertia in the coming years while still paying the bills? Is there any options for recent grads w/o industry experience, perhaps not directly in an MLE/research scientist role? Am I SOL and have to find a job outside ML to pay the bills? If I do, am I screwed on making it back into ML?
Thank you so much for your insights as a recruiter! :) I’ll stick through it.