Applied AI / ML Engineer

Catalyst Labs
San Francisco, IL
Category Engineering
Job Description
We are looking for an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles. The ideal candidate is an exceptional builder who thrives at the intersection of real world features and AI/ML engineering.

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
  • 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
  • Exceptional problem-solving ability, curiosity, and product intuition
  • Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions

Benefits

  • Above market base
  • Bonus
  • Equity
  • Visa sponsorship available
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