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About the Role
Generalist Research Engineers work across Exa's search and retrieval stack, focusing on improving the end quality of search endpoints for customers. This role is ideal for individuals eager to build massive-scale ML systems that will shape how the AI world consumes information.
Responsibilities
- Design and ship a new parser that dramatically improves retrieval performance
- Improve throughput and latency of ML models
- Make our web crawler 3x faster
Requirements
- High attention to detail
- Ability to simultaneously understand customer needs and implementation details of the system
- Great intellectual horsepower; generalists eager to go deep
- Comfortable working across different systems and shipping fast
- Care about the problem of finding high-quality information and recognize its importance
Skills
- Crawling
- Parsing
- ML performance
- Retrieval algorithms
Location
- San Francisco
Work Type
- In-person
- Full-time
Benefits
- Premium healthcare benefits (medical, dental, vision)
- Fertility benefits
- 16 weeks of fully paid parental leave for all new parents
- Monthly wellness stipend
About the Company
- 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.
- We 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.