Andrew Tulloch, co-founder of Thinking Machines Lab and former OpenAI CTO, has left the AI startup to join Meta, amid reports of Meta's aggressive AI hiring efforts and a potential acquisition attempt that did not materialize.
AI labs like OpenAI are actively recruiting Wall Street quants with multimillion-dollar offers to build artificial general intelligence, outbidding traditional finance firms and shifting the talent landscape in favor of tech-driven AI development.
Tech companies are paying premiums of up to $200,000 for AI and machine learning talent, with a trend of overpaying to attract skilled data scientists and analysts, especially among startups and big tech firms competing for top talent.
Meta claims it is successfully attracting AI talent from OpenAI, disputing OpenAI CEO Sam Altman's exaggerated claims of offering $100 million signing bonuses, and emphasizing their strategic hiring efforts in the AI space.
Metaview, an AI-driven hiring company founded by Uber and Palantir alumni, has raised $35 million to develop a suite of AI tools aimed at transforming corporate recruitment by automating interview note-taking, reporting, and job posting processes, while emphasizing the importance of human oversight to mitigate bias and ethical concerns.
OpenAI CEO Sam Altman revealed that Meta has offered its employees signing bonuses up to $100 million and larger annual packages to attract top AI talent, but none of OpenAI's best staff have accepted these offers. Meta's aggressive recruitment, including hiring from Scale AI and other top tech firms, reflects its ambition to build a leading AI team, though Altman criticizes Meta's innovation culture and suggests that OpenAI's focus on meaningful work may be a factor in its staff's loyalty.
A recent survey reveals that nearly all Fortune 500 companies are using AI tools like applicant tracking systems (ATS) to screen candidates during the hiring process. To increase the chances of getting past these AI bots, job applicants should design their resumes with text-based content, include relevant keywords, use a clean and simple layout with standard fonts, avoid verbose or jargon-filled language, provide context in bullet points, and use compatible file formats like .docx or .pdf.