Applied AI / ML Engineer

Catalyst Labs
San Francisco, DC
Category Data Analyst
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, especially with document understanding and extraction. The ideal candidate thrives at the intersection of real world features and AI/ML engineering, delivering real, measurable value to end users. The role involves building and scaling the ML and product infrastructure that powers intelligent tax document processing at production scale, designing and optimizing inference systems, and collaborating with accountants and tax domain experts.

Requirements

  • 4+ years of experience in machine learning / AI engineering
  • Strong track record of building systems that create direct user value
  • Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products
  • Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows
  • 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 product experience
  • Exceptional problem-solving ability, curiosity, and product intuition
  • Strong communication skills with the ability to engage directly with domain experts

Benefits

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