ML Research Engineer, Exa
$130-200k
Search infrastructure for AI
Open for applications
Search infrastructure for AI
21-100 employees
Open for applications
$130-200k
21-100 employees
Company mission
To understand any query – no matter how complex – and filter the internet to exactly the knowledge required for that query.
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Company mission
To understand any query – no matter how complex – and filter the internet to exactly the knowledge required for that query.
Few candidates hear
back within 2 weeks
Our take
The way we currently query AIs means that the models we rely on are themselves reliant on the quality of internet search tools. To answer this, Exa is building a tool that allows AI models to perform the equivalent of a web search, making the models more effective in their responses to our questions.
Exa’s embeddings-based search engine is free of “hallucinations” (those bizarre search query answers that AI sometimes brings back to users). Also, in the same way that LLMs complete sentences, its predictive technology does the same for search queries by providing the next probable link.
It's an alluring product for companies and individuals who want to accelerate their research answers. It's also one of a kind at present, which has led to several successful funding rounds which will help accelerate its product. If it maintains its current momentum, Exa could well be the AI search engine of the future.
Kirsty
Company Specialist at Welcome to the Jungle
Funding (last 2 of 3 rounds)
Jul 2024
$17.6m
SERIES A
Jan 2024
$4.4m
SEED
Total funding: $27m
This company has top investors
Leadership
Will Bryk
(Co-Founder & CEO)Previously a Software Engineer at Cresta, Intern at Zoox Inc and was the President of the Harvard Undergrad Robotics Club.
Jeffrey Wang
(Co-Founder)Previously a Member of South Park Commons and was a Software Engineer at Plaid.
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