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Applied AI / ML Engineer
Catalyst Labs
San Francisco, CT
Category
Software Engineering
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Job Description
Catalyst Labs is a talent agency specializing in Applied AI, Machine Learning, and Data Science. We are partnering with a San Francisco-based startup building a GenAI-native platform for tax document processing, automating complex tasks in finance and Tax.
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, optimizing for accuracy, scalability, and reliability
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
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