Applied AI / ML Engineer

Catalyst Labs
San Francisco, TX
Job Description
Catalyst Labs is a talent agency specializing in Applied AI, Machine Learning, and Data Science. They are partnering with a San Francisco-based startup building a GenAI-native platform that automates tax document processing. The company is seeking an Applied AI / ML Engineer with 5+ years of experience in building and scaling commercial machine learning systems, particularly in document understanding and extraction.

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.
  • 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 + bonus + equity
  • Visa sponsorship available for candidates with demonstrated brilliance and expertise
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