Applied AI / ML Engineer

Catalyst Labs
San Francisco, FL
Category Engineering
Job Description
Catalyst Labs is a talent agency specializing in Applied AI, Machine Learning, and Data Science. They partner with clients to build and scale ML infrastructure and recommendation systems. They are seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems. The role involves building and scaling ML and product infrastructure for intelligent tax document processing, collaborating with accountants and tax domain experts, and driving experiments and iterating on core ML metrics.

Requirements

  • 4+ years of experience in machine learning / AI engineering
  • 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
  • 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
  • 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 for candidates with demonstrated brilliance and expertise
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