Applied AI / ML Engineer

Catalyst Labs
San Francisco, CA
Category Engineering
Job Description
Catalyst Labs is a talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. They partner with companies to find exceptional AI/ML engineers like you. This job is for an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems, especially with document understanding and extraction. You'll be working on a GenAI-native platform that automates complex challenges in finance and tax, and turning dense tax documents into structured data in minutes. The platform serves private wealth and asset management players, helping them move faster and make better decisions.

Requirements

  • 4+ years of experience in machine learning / AI engineering
  • 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
  • Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras)
  • Cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes)
  • Web application development including Python-based web servers (e.g. Flask, Django)
  • Database and storage layers (e.g. Postgres, SQL, S3/GCS)
  • 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

Benefits

  • Above market base + bonus + equity
  • Visa sponsorship available for candidates with demonstrated brilliance and expertise
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