Meta is set to introduce a novel job interview approach, which will require candidates to utilize artificial intelligence (AI) during their coding assessments. This initiative is part of the company’s ambitions to enhance its capabilities in the AI sector. The Menlo Park-based technology leader aims to cultivate a future workforce that possesses strong skills in using generative AI tools, particularly among those developing its core products.
According to a report by 404 Media, Meta’s new interview strategy will not only involve AI in the screening process but also allow candidates to engage with AI during their evaluations. Internal communications reviewed by the publication indicate that applicants will be encouraged to use an AI assistant when completing their coding tasks.
To evaluate the integration of AI in the interview process, Meta is also inviting current employees to participate in “mock AI-enabled interviews.” A message shared internally earlier this month outlined, “Meta is developing a new type of coding interview in which candidates have access to an AI assistant. This mirrors the developer environment of our future hires and reduces the effectiveness of LLM-based cheating.”
The post, originally intended for employee engagement in this trial interview model, included a call to action for staff members to express their interest in participating through an online signup. “The questions are still in development; your feedback will assist in shaping Meta’s future interviewing process,” the message reportedly stated.
This shift in interview format aligns with Meta’s expanding focus on AI technology. Earlier this year, CEO Mark Zuckerberg mentioned on the Joe Rogan podcast that by 2025, companies like Meta would likely develop AI capable of functioning at the level of a mid-level engineer, with the ability to write code effectively.
In February, Meta laid off 3,600 employees due to performance issues. With the establishment of its Superintelligence Labs, it is evident that Meta is keen on building a workforce adept in AI tools, enabling them to proficiently assign certain responsibilities to chatbots.
