Catalyst Labs
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Applied AI / ML Engineer
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Catalyst Labs
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About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We partner directly with AI-first startups, established tech companies, and enterprise innovation teams to embed AI into their recruitment operations.
Our Client Our client is a San Francisco based startup building a GenAI-native platform that automates complex finance and tax challenges, turning dense tax documents into structured data in minutes with over 99% accuracy. They serve private wealth and asset management players, backed by top-tier AI leaders.
Location Union Square, San Francisco
Work Type Full Time, 5 days a week On-Site
Compensation Above market base + bonus + equity
Visa Sponsorship available for candidates with demonstrated brilliance and expertise.
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, pain points, and quality thresholds translating 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 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.
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.
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.
Seniority level Not Applicable
Employment type Full-time
Job function Engineering and Information Technology
Industries Business Consulting and Services
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Applied AI / ML Engineer
role at
Catalyst Labs
Get AI-powered advice on this job and more exclusive features.
About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We partner directly with AI-first startups, established tech companies, and enterprise innovation teams to embed AI into their recruitment operations.
Our Client Our client is a San Francisco based startup building a GenAI-native platform that automates complex finance and tax challenges, turning dense tax documents into structured data in minutes with over 99% accuracy. They serve private wealth and asset management players, backed by top-tier AI leaders.
Location Union Square, San Francisco
Work Type Full Time, 5 days a week On-Site
Compensation Above market base + bonus + equity
Visa Sponsorship available for candidates with demonstrated brilliance and expertise.
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, pain points, and quality thresholds translating 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 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.
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.
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.
Seniority level Not Applicable
Employment type Full-time
Job function Engineering and Information Technology
Industries Business Consulting and Services
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