Catalyst Labs
Applied AI / ML Engineer • Catalyst Labs
Overview
Apply for the
Applied AI / ML Engineer
role at Catalyst Labs, a talent agency specializing in Applied AI, Machine Learning, and Data Science. Join a team that partners directly with AI‑first startups, established tech companies, and enterprise innovation teams to deliver AI‑powered solutions.
About the Client We are building a GenAI‑native platform that automates complex tax and finance document processing. The system turns dense tax documents into structured, usable data in minutes, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. The client serves sophisticated private wealth and asset management firms and has recently been acquired by a global technology leader.
Location & Work Details 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 qualified candidates
What We Are Looking For Seeking an experienced Applied AI / ML Engineer with 5+ years building commercial ML systems, especially in document understanding and extraction. You should thrive at the intersection of real‑world features and AI/ML engineering, delivering measurable value to end users.
Roles & Responsibilities
Build and scale 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 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 of experience in machine learning / AI engineering with proven end‑to‑end ownership of ML‑powered products.
Strong track record building systems that create direct user value, not just research prototypes or internal tooling.
Experience deploying or integrating LLMs, LLM APIs, agents, and prompt engineering into production systems.
Strong Python proficiency, familiarity with ML infrastructure and data workflows (GCP/AWS, Docker, Kubernetes, Flask/Django).
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, engaging directly with domain experts and translating complex needs into technical solutions.
Growth trajectory demonstrated through promotions or increasing scope of responsibility.
Benefits Above market base salary + performance bonus + equity and benefits typical for a large enterprise, including health, dental, vision, 401(k) matching, paid parental leave, and flexible remote policy.
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Applied AI / ML Engineer
role at Catalyst Labs, a talent agency specializing in Applied AI, Machine Learning, and Data Science. Join a team that partners directly with AI‑first startups, established tech companies, and enterprise innovation teams to deliver AI‑powered solutions.
About the Client We are building a GenAI‑native platform that automates complex tax and finance document processing. The system turns dense tax documents into structured, usable data in minutes, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. The client serves sophisticated private wealth and asset management firms and has recently been acquired by a global technology leader.
Location & Work Details 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 qualified candidates
What We Are Looking For Seeking an experienced Applied AI / ML Engineer with 5+ years building commercial ML systems, especially in document understanding and extraction. You should thrive at the intersection of real‑world features and AI/ML engineering, delivering measurable value to end users.
Roles & Responsibilities
Build and scale 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 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 of experience in machine learning / AI engineering with proven end‑to‑end ownership of ML‑powered products.
Strong track record building systems that create direct user value, not just research prototypes or internal tooling.
Experience deploying or integrating LLMs, LLM APIs, agents, and prompt engineering into production systems.
Strong Python proficiency, familiarity with ML infrastructure and data workflows (GCP/AWS, Docker, Kubernetes, Flask/Django).
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, engaging directly with domain experts and translating complex needs into technical solutions.
Growth trajectory demonstrated through promotions or increasing scope of responsibility.
Benefits Above market base salary + performance bonus + equity and benefits typical for a large enterprise, including health, dental, vision, 401(k) matching, paid parental leave, and flexible remote policy.
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