Research Engineer, Generalist

Requirements

• High attention to detail; simultaneously understand customer needs and implementation details of the system
• Great intellectual horsepower - generalists who are eager to go deep
• You're excited to work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms and more
• Comfortable working across different systems, and shipping fast
• You care about the problem of finding high quality information and recognize how important this is for the world
• What You Could Do
• Design and ship a new parser that dramatically improves retrieval performance
• Improve throughput and latency of ML models
• Make our web crawler 3x faster
• Logistics
• Location: This is an in-person opportunity in San Francisco.
• Visas: We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.
• Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.

Benefits

Additional Information

Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. Generalist Research Engineers work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms. The team is centered around improving end quality of search endpoints for customers.

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Company Intel

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