Applied AI / ML Engineer

Catalyst Labs
San Francisco, CA
Category Engineering
Job Description
Catalyst Labs is a talent agency that partners with clients in Applied AI, Machine Learning, and Data Science. They are seeking an Applied AI/ML Engineer to join a San Francisco-based startup that builds a GenAI-native platform for tax document processing. The role involves building and scaling ML and product infrastructure, collaborating with tax domain experts, and integrating inference pipelines into a seamless experience.

Requirements

  • 4+ years of experience in machine learning/AI engineering with 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 and optimize for accuracy, scalability, and reliability
  • Comfortable with Python, 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 product experience
  • Exceptional problem-solving ability, curiosity, and product intuition
  • Strong communication skills with the ability to engage directly with domain experts

Benefits

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