Rishabh Agarwal opens up about rejecting $1 million proposal from Meta: The offer was higher..
Rishabh Agarwal addressed the viral claim that he left $1M job offer from Meta to start his own Periodic Labs (right) which is building an
Rishabh Agarwal addressed the viral claim that he left $1M job offer from Meta to start his own Periodic Labs (right) which is building an AI scientist. Indian techie Rishabh Agarwal is a known name in the AI space, as the IIT Bombay graduate has been building Periodic Labs, an AI startup. Last year, around August, Agarwal announced his "tough decision" to exit Meta and take a different kind of risk by making something of his own. As Agarwal's impressive CV started going viral again, Agarwal addressed the claim that he left a $1 million offer from Meta and clarified that the offer "was an order of magnitude higher than $1 million", suggesting that he let more than just $1 million go to build his own company."Meet Rishabh Agrawal, who got AIR 33 in JEE and completed his B.
Tech, Computer Science from IIT Bombay. He worked at Google Brain, DeepMind, Waymo, and when Mark Zuckerberg personally gave him a $1 million job offer, he denied it. And do you know what he's doing today? Building the next-generation AI company called Periodic Labs," the viral post said."And do you know what he's doing today? Building the next-generation AI company called Periodic Labs.""Many of us might
not know him well, but in the AI world, he is a big deal. The reason is that he has worked at some of the most elite AI labs on the planet: Google Brain, DeepMind, Waymo, and Meta Superintelligence Labs."In spite of that, when he was offered a ₹9.5 crore per annum job, after five months at Meta, he denied it, quit, and joined Periodic Labs
as a co-founder," the post said, adding that Agarwal chose to be a big fish in a small pond rather than being a small fish in a big pond.Backed by Jeff Bezos and NVIDIA, Agarwal's Periodic Labs is building the future of next-generation AI as it is building an AI scientist that can generate hypotheses for real-world experiments to discover new materials, medicines, and even new physics.
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