Knowledge Systems Engineer - Ultra-Scale AI Search

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, 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.