Catalyst Labs
About Us
Catalyst Labs is a leading talent agency specialized in Applied AI, Machine Learning, and Data Science. We embed deeply in our clients’ recruitment operations and partner directly with AI‑first startups, established tech companies, and enterprise innovation teams. We collaborate with founders, CTOs, and Heads of AI to drive the next wave of applied intelligence from model optimization to productized AI workflows. Client
We are hiring for a San Francisco‑based GenAI‑native platform that automates complex finance and tax challenges. The platform turns dense tax documents into structured data in minutes with near‑human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. The company serves sophisticated private wealth and asset management players, backed by seasoned founders and AI leaders from top‑tier tech companies. Location & Work Type
Union Square, San Francisco – Full Time, On‑Site (5 days a week). Compensation & Visa
Above‑market base + bonus + equity. Sponsorship available for qualified candidates. What We Are Looking For
We seek an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems, especially in document understanding and extraction. You are an exceptional builder who thrives at the intersection of real‑world features and AI/ML engineering, delivering measurable value to end users. Roles & Responsibilities
Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. Collaborate closely with accountants and tax domain experts to deeply understand workflows and translate insights into productized ML systems. Integrate inference pipelines into a seamless, end‑to‑end experience that transforms how tax professionals process and interpret documents. Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. Collaborate cross‑functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications
Core Experience
4+ years 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, optimizing for accuracy, scalability, and reliability. Proficiency in Python and popular ML libraries (pandas, scikit‑learn, spaCy, PyTorch, TensorFlow, Keras), cloud providers (GCP/AWS), container technologies (Docker, Kubernetes), web application development (Flask, Django), and database layers (Postgres, SQL, S3/GCS). Experience deploying or integrating LLMs, LLM APIs, agents, and prompt engineering into production systems. Experience in document understanding, OCR, or applied NLP. Exposure to financial or tax‑related data environments. Startup or early‑product experience. Soft Skills
Exceptional problem‑solving ability, curiosity, and product intuition. Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other Information
We are excited to bring a talented Applied AI / ML Engineer onto our team of proven builders who scale products to acquisition, engineer systems that power billions of data points, and now apply GenAI to redefine how financial data is understood, structured, and acted upon.
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Catalyst Labs is a leading talent agency specialized in Applied AI, Machine Learning, and Data Science. We embed deeply in our clients’ recruitment operations and partner directly with AI‑first startups, established tech companies, and enterprise innovation teams. We collaborate with founders, CTOs, and Heads of AI to drive the next wave of applied intelligence from model optimization to productized AI workflows. Client
We are hiring for a San Francisco‑based GenAI‑native platform that automates complex finance and tax challenges. The platform turns dense tax documents into structured data in minutes with near‑human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. The company serves sophisticated private wealth and asset management players, backed by seasoned founders and AI leaders from top‑tier tech companies. Location & Work Type
Union Square, San Francisco – Full Time, On‑Site (5 days a week). Compensation & Visa
Above‑market base + bonus + equity. Sponsorship available for qualified candidates. What We Are Looking For
We seek an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems, especially in document understanding and extraction. You are an exceptional builder who thrives at the intersection of real‑world features and AI/ML engineering, delivering measurable value to end users. Roles & Responsibilities
Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. Collaborate closely with accountants and tax domain experts to deeply understand workflows and translate insights into productized ML systems. Integrate inference pipelines into a seamless, end‑to‑end experience that transforms how tax professionals process and interpret documents. Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. Collaborate cross‑functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications
Core Experience
4+ years 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, optimizing for accuracy, scalability, and reliability. Proficiency in Python and popular ML libraries (pandas, scikit‑learn, spaCy, PyTorch, TensorFlow, Keras), cloud providers (GCP/AWS), container technologies (Docker, Kubernetes), web application development (Flask, Django), and database layers (Postgres, SQL, S3/GCS). Experience deploying or integrating LLMs, LLM APIs, agents, and prompt engineering into production systems. Experience in document understanding, OCR, or applied NLP. Exposure to financial or tax‑related data environments. Startup or early‑product experience. Soft Skills
Exceptional problem‑solving ability, curiosity, and product intuition. Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other Information
We are excited to bring a talented Applied AI / ML Engineer onto our team of proven builders who scale products to acquisition, engineer systems that power billions of data points, and now apply GenAI to redefine how financial data is understood, structured, and acted upon.
#J-18808-Ljbffr