Applied AI / ML Engineer

Catalyst Labs
San Francisco, WA
Job Description
Catalyst Labs is seeking an Applied AI / ML Engineer to build and scale commercial machine learning systems for a GenAI-native platform that automates tax document processing. The platform transforms dense tax documents into structured data in minutes, achieving over 99% accuracy. The team serves sophisticated players in private wealth and asset management, helping them make better decisions in an industry where accuracy and speed define competitiveness.

Requirements

  • 4+ years of experience in machine learning / AI engineering
  • Proven end-to-end ownership of ML-powered products
  • 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
  • Startup or product experience

Benefits

  • Above market base + bonus + equity
  • Visa sponsorship available for candidates with demonstrated brilliance and expertise
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