Applied AI / ML Engineer

Catalyst Labs
Any Location, CA
Job Description
We are looking for an Applied AI / ML Engineer to join a team building a GenAI-native platform that automates complex financial and tax document processing. The ideal candidate has 5+ years of experience in machine learning / AI engineering with a strong track record of building systems that create direct user value. Experience with large, complex datasets, Python, popular ML libraries, and cloud providers is required.

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 and ML-powered enterprise or consumer products
  • Comfortable with Python and popular ML libraries
  • 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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