Applied AI / ML Engineer

Catalyst Labs
San Francisco, TX
Category Engineering
Job Description
Catalyst Labs is seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles. The ideal candidate thrives at the intersection of real world features and AI/ML engineering, with expertise in document understanding and extraction.

Requirements

  • 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products.
  • Strong track record of building systems that create direct user value, not just research prototypes or internal tooling.
  • Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability.
  • Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products.
  • Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems.
  • Experience in document understanding, OCR, or applied NLP.
  • Exposure to financial or tax-related data environments.
  • Startup or 01 product experience.

Benefits

  • Above market base + bonus + equity
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