Applied AI / ML Engineer

Catalyst Labs
San Francisco, CT
Job Description
We are 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 role is central to scaling a GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multinational firm.

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
  • Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras)
  • 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 01 product experience

Benefits

  • Above market base + bonus + equity
  • Visa sponsorship available for candidates with demonstrated brilliance and expertise
  • Generous Paid Time Off
  • 401k Matching
  • Retirement Plan
]]>