Applied AI / ML Engineer

Catalyst Labs
San Francisco, MA
Category Engineering
Job Description
Catalyst Labs is seeking an Applied AI / ML Engineer to build and scale commercial machine learning systems for tax document processing. The role involves designing and optimizing inference systems, collaborating with accountants and tax domain experts, and integrating inference pipelines into a seamless experience.

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
  • 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 salary
  • Bonus
  • Equity
  • Visa sponsorship available for candidates with demonstrated brilliance and expertise
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