We're looking for a head of AI to lead our research org. That means setting the research direction, coding up the right models/datasets/evals, and managing/growing the research team. We're an SF team of ~20 engineers/researchers from Harvard, MIT, Apple, etc. We recently raised a $17m Series A from Lightspeed and Nvidia, and we just bought a $5m H200 cluster to train more models. At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Basically, put the web into an extremely powerful database. No other search engine can -- or is even trying -- to do this (SearchGPT, Google, Perplexity are innovating on the UI, not the search algorithm). And no other AI lab we know of is exploring this direction at web-scale. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us? Desired Experience You have 4+ years of industry ML experience You care deeply about the problem of finding high quality knowledge and recognize how important this is for the world You are ready to lead a research org Example projects Dream up a novel architecture for search in the shower, then code it up and beat our best model's top score Design an RLAIF pipeline for search Give speeches at conferences and recruit the best ML researchers Publish a SOTA embedding paper for the company We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3). This is an in-person opportunity in San Francisco. We're big believers in in-person culture! #J-18808-Ljbffr Exa
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