Software Engineer, Knowledge Systems

Exa; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Exa, based in San Francisco, is seeking a Software Engineer for Knowledge Systems to build cutting-edge ML systems that redefine search capabilities. This role involves developing infrastructure for AI agents to analyze and reason over data sourced from the web, ensuring precision and quality in information retrieval.

The ideal candidate will have experience in distributed backend systems and proficiency in data pipeline development for massive datasets. Join us to be part of an innovative team that aims to enhance how AI consumes information.

Qualifications

• Experience building and maintaining complex distributed backend systems.
• Ability to build data pipelines that process large volumes of unstructured data.
• Comfortable optimizing systems for correctness, reliability, and scale.

Responsibilities

• Build systems that understand and extract knowledge from the web.
• Work on answering questions with unprecedented precision and completeness.
• Optimize for data quality and high-quality information retrieval.

Skills

Distributed backend systems

Data pipelines

System optimization

Data quality

Job 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