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Recruiting AI talent is ruthless right now

Mar 11, 2024 - businessinsider.com
Aravind Srinivas, the CEO of AI startup Perplexity, has highlighted the challenges of hiring AI talent, particularly due to the lack of resources like Nvidia's H100 GPUs. He shared an instance where a potential hire from Meta asked him to return when he had 10,000 H100 GPUs, a resource that would take billions of dollars and 5-10 years to acquire from Nvidia. Srinivas noted that even if smaller firms like his manage to acquire these chips, they would still lag behind due to the rapid pace of AI development.

The demand for AI skills has surged since OpenAI launched ChatGPT in November 2022, with companies like Amazon, Netflix, and Meta offering salaries up to $900,000 a year to attract AI talent. However, Srinivas believes that creating AI models isn't enough, and post-training skills are crucial to make AI tools useful. He emphasized that employees from industries like crypto or e-commerce could quickly learn these skills, which could help AI companies like Perplexity stand out in a sector dominated by Big Tech.

Key takeaways:

  • Hiring AI talent is becoming increasingly difficult due to the high demand for AI skills and the need for high-end resources like Nvidia's H100 GPUs.
  • Aravind Srinivas, the CEO of Perplexity, an AI startup, shared his experience of failing to hire a senior researcher from Meta due to lack of enough GPUs.
  • Big tech companies like Amazon, Netflix, and Meta are offering high salaries, up to $900,000 a year, to attract generative AI talent.
  • Srinivas believes that post-training skills, such as reducing a chatbot's factual inaccuracies, are crucial for making AI tools useful and can help smaller AI companies stand out in a sector dominated by Big Tech.
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