Jasper Gilley reflects on a significant career shift after leaving a FAANG company, convinced that their role in machine learning engineering might soon be obsolete. Gilley describes how the job market has drastically changed within just a few years, noting that earlier practices like tackling individual Jira tickets seem archaic in light of advancements in AI tools. As coding becomes less labor-intensive, the demand for junior developers has diminished, while senior engineers are tasked with more complex debugging. Gilley emphasizes that despite automation threats, machine learning still involves intricate cost and hardware management challenges.
Most of the microservices repos at my first company could now probably be built in a day by one person with the aid of an advanced coding agent like Claude Code.
My first job consisted of taking on atomic tasks in the form of Jira tickets... If this work model isn't obsolete yet, it certainly feels like a relic of a dying age.
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