Report: Machine-learning engineer is the fourth fastest-growing job in the US, per LinkedIn

On Tuesday, LinkedIn released annual data on worldwide trends in hiring, employment, and workplaces.Spoiler alert: Emerging-tech jobs are on the up-and-up—especially when it comes to AI.Last year, the role of “artificial intelligence practitioners” came in last (no. 15) on the company’s list of jobs on the rise. But this year’s list, which expanded to 25 roles, ranks machine learning engineer as the fourth fastest-growing job in the US over the past five years.Other tech roles that made the cut: user experience researcher, technical program manager, back end developer, and site reliability engineer.We chatted with Romer Rosales, LinkedIn’s senior director of AI, and Souvik Ghosh, a principal staff engineer and director of AI, about why ML engineers are such a hot commodity.On the rising demand for machine learning engineersSG: “One of the trends we saw on this year’s broader list was an increase in jobs available to people with fewer years of experience. We’re seeing that machine learning engineer roles are only requiring four years of experience on average, which is great for someone who is just starting out.”RR: “The consistent, high demand for machine learning engineers is not surprising, but the increased demand toward the end of last year and…
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