Applied AI / ML Engineer

Catalyst Labs
San Francisco, CA
Category Engineering
Job Description
Catalyst Labs is seeking an Applied AI / ML Engineer to build and scale commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. The role involves designing and optimizing inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as they expand to millions of documents.

Requirements

  • 4+ years of experience in machine learning / AI engineering
  • Strong track record of building systems that create direct user value
  • Demonstrated ability to work with large, complex datasets
  • Strong fundamental understanding of how to build, measure, and iterate on ML systems
  • Comfortable with Python and popular ML libraries
  • Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems
  • Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows
  • Experience in document understanding, OCR, or applied NLP
  • Exposure to financial or tax-related data environments

Benefits

  • Above market base
  • Bonus
  • Equity
  • Visa sponsorship available
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