Exa is building a search engine from scratch to serve every AI application. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to index it, and develop super high performant vector databases in Rust to search over it. We also own a $5M H200 GPU cluster that regularly lights up tens of thousands of machines.
R&D Product 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.
Desired Experience
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
Example Projects
Design and ship a new parser that dramatically improves retrieval performance
Improve throughput and latency of ML models
Make our web crawler 3x faster
This is an in-person opportunity in San Francisco. We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3).
Top Skills
Exa (exa.ai) San Francisco, California, USA Office
533 Page St, , San Francisco, California , United States, 94117
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
