A recent report sheds light on the human resources strategy adopted by “OpenAI” as it actively pursues and targets artificial intelligence researchers from Google with enticing job offers, including annual financial incentives that can soar up to $10 million.
As reported by “The Information,” the developer behind “ChatGPT” is on a quest to assemble the best minds in artificial intelligence research, aiming to harness their expertise to enhance the capabilities of its intelligent models. OpenAI is leveraging its cutting-edge technological tools to allure researchers into contributing to the development and rigorous testing of intelligent models, complemented by substantial financial incentives.
This move comes in the wake of a Bloomberg report from mid-October, suggesting that the burgeoning company is contemplating selling its shares to employees, with an estimated market value reaching up to $86 billion.
According to “The Information,” the job offers extended to Google researchers feature financial incentives ranging from $5 million to $10 million annually, encompassing the value of potential stock shares should these researchers decide to accept the offers.
This isn’t the inaugural attempt by “OpenAI” to attract talent from Google. Preceding the launch of its intelligent platform “ChatGPT” in November 2022, the startup had successfully onboarded over 12 former employees from various divisions of Google’s artificial intelligence sector. Notably, at least five of them played a direct role in shaping and advancing the intelligent platform, as detailed in a previous report from “The Information.”
A report from February indicated that the number of former Google employees joining the ranks of “OpenAI” had reached 59, supplemented by an additional 34 employees recruited from Meta.
“OpenAI” appears unwavering in its commitment to assembling top-tier talent. Jean Lachic, Head of AI Capability Steering and Development at the company, emphasized the continuous pursuit of formidable teams passionate about ensuring the safety of artificial intelligence. These teams are expected to possess critical thinking skills, coding proficiency, and a profound understanding of the significance of advanced machine learning tools and platforms.
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