Software Engineer, Knowledge Systems

Reposted 18 Days Ago
San Francisco, CA, USA
In-Office
180K-350K Annually
Mid level
Artificial Intelligence • Software
Building embeddings-based search infrastructure
The Role
Build and maintain large-scale systems to extract, connect, retrieve, and reason over web knowledge. Implement petabyte-scale data pipelines, optimize for correctness/reliability/scale, and improve data quality to power factual QA and search.
Summary Generated by Built In

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.

Skills Required

  • Experience building and maintaining complex distributed backend systems
  • Experience building data pipelines that process petabytes of documents, metadata, and unstructured data
  • Experience optimizing systems for correctness, reliability, and scale
  • Strong focus on data quality and finding high-quality information
  • Experience with graph traversal, entity resolution, data quality systems, or truth discovery
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The Company
HQ: Burlington, MA
86 Employees
Year Founded: 2021

What We Do

Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.

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