Software Engineer
Exa Labs · San Francisco, CA
Build systems on the Knowledge Systems team that extract, connect, retrieve and reason over knowledge from the web so AI agents can answer questions precisely and completely. Work on large-scale distributed backend systems and data pipelines focused on data quality.
What you'll do
- Build and maintain complex distributed backend systems
- Build data pipelines processing petabytes of documents and unstructured data
- Optimize systems for correctness, reliability and scale
- Extract, connect and reason over knowledge from the web
- Find and ensure high-quality information
Requirements
- Experience building and maintaining complex distributed backend systems
- Ability to build data pipelines processing petabytes of documents, metadata and unstructured data
- Comfortable optimizing systems for correctness, reliability and scale
- Care deeply about data quality
Nice to have
- Experience with graph traversal, entity resolution, data quality, or truth discovery systems
Benefits
- Premium healthcare (medical, dental, vision)
- Fertility benefits
- 16 weeks fully paid parental leave
- Monthly wellness stipend
- Visa sponsorship
Skills
Outlined skills are listed as required.
Full original description
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.
As a Software Engineer on Knowledge Systems, you’ll help build systems that understand what is true about the world. You’ll work on extracting, connecting, retrieving, and reasoning over knowledge from the web and beyond so AI agents can answer questions with unprecedented precision and completeness.
Desired Experience
You have experience building and maintaining complex distributed backend systems
You can build data pipelines that process petabytes of documents, metadata, and unstructured data
You’re comfortable optimizing systems for correctness, reliability, and scale
You care deeply about data quality and finding high-quality information
Plus: experience building systems involving graph traversal, entity resolution, data quality, or truth discovery
Example Projects
Build a system that can answer every factual question about every person in the world
Design a new query language for searching, traversing, and reasoning over billions of facts
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.
Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.