Applied AI / ML Engineer

Catalyst Labs
San Francisco, CA
Category Engineering
Job Description
Catalyst Labs is seeking an Applied AI/ML Engineer with 5+ years of experience in building and scaling commercial machine learning systems. The role involves building and scaling the ML and product infrastructure for intelligent tax document processing at production scale.

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.
  • 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.
  • Growth trajectory demonstrated through promotions or increasing scope of responsibility.

Benefits

  • Above market base salary
  • Bonus
  • Equity
  • Visa sponsorship for candidates with demonstrated brilliance and expertise
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