Applied AI / ML Engineer

Catalyst Labs
San Francisco, CA
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 will thrive at the intersection of real-world features and AI/ML engineering, with a strong understanding of how models work and how to use them to deliver 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 closely with accountants and tax domain experts.

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
  • 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, cloud providers, container technologies, web application development, and database and storage layers
  • 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
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