Applied AI / ML Engineer

Catalyst Labs
San Francisco, CA
Category Engineering
Job Description
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We are seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles. The role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi-national firm.

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 (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), and 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
  • Full-time employment with 5 days a week on-site work
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