4 months ago
Base Salary
$180k - $350k/yr
Responsibilities
- Design and ship parsers that improve retrieval performance.
- Improve the throughput and latency of machine-learning models.
- Optimize the web crawler for substantially faster performance.
- Work across crawling, parsing, ML performance, and retrieval algorithms to improve search endpoint quality.
Requirements
- Demonstrated ability to work across different systems and ship quickly.
- Strong attention to detail and ability to understand both customer needs and system implementation details.
- Generalist mindset with enthusiasm for deep technical problem-solving.
- Interest in finding and delivering high-quality information.
Benefits
- In-person role based in San Francisco.
- International visa sponsorship may be available, including STEM OPT, OPT, H1B, O1, and E3 sponsorship.
- Premium medical, dental, and vision benefits.
- Fertility benefits.
- 16 weeks of fully paid parental leave for all new parents.
- Monthly wellness stipend.
About Exa
Exa builds a web-scale search engine and API for AI agents and developer applications, combining its own crawler, embedding models, and high-performance vector search. It sells usage-based APIs and enterprise integrations that power retrieval-augmented generation, browsing, and automation on live web content. The company runs large crawling infrastructure and dedicated GPU clusters to continuously index and embed pages, and ships low-latency search components written in Rust.