Meta has officially begun piloting a new hiring model that allows candidates to use AI tools during coding interviews, marking a significant departure from traditional recruitment practices.
The initiative, confirmed through internal memos and spokesperson statements, is currently being tested with a select pool of engineering candidates.
Tools like ChatGPT, GitHub Copilot, and Meta’s own Llama models are permitted during assessments.
This reflects the company’s belief that AI-assisted workflows have become integral to real-world software development.
This move positions Meta at the forefront of a broader transformation in Silicon Valley, where companies are increasingly evaluating not just technical skill, but AI collaboration proficiency.
Why Meta Is Changing the Rules
Meta’s internal memo titled “AI-Enabled Interviews—Call for Mock Candidates” outlines the rationale behind the pilot.
The company argues that traditional interviews emphasize raw memory, speed, and unaided problem-solving.
These methods, it believes, no longer reflect the actual work environment of modern developers.
Instead, Meta wants to assess how candidates interact with AI tools, debug AI-generated code, and integrate AI into their workflows.
A Meta spokesperson explained, “We’re focused on using AI to help engineers with their day-to-day work, so it should be no surprise that we’re testing how to provide these tools to applicants during interviews.”
This approach is intended to reduce performance anxiety, improve equity, and better predict on-the-job performance.
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