Principal Machine Learning Engineer for Applied AI

Qualifications

• We are seeking a skilled Principal Machine Learning Engineer for Applied AI with over 5 years of experience developing and scaling commercial machine learning systems, particularly in document understanding and data extraction

• You are an experienced builder who excels in integrating real-world functionalities with AI/ML engineering, utilizing your expertise to provide meaningful value to end-users

• Core Experience

• 4+ years in machine learning / AI engineering with proven end-to-end ownership of ML-driven products

• Demonstrated success in developing systems that deliver direct user value rather than research prototypes or internal tools

• Experience managing large, complex datasets and optimizing for accuracy, scalability, and reliability

• Proficient in building, measuring, and iterating on ML systems and ML-driven consumer or enterprise products

• Proficiency in Python and popular ML libraries (e.g., pandas, scikit-learn, spaCy, PyTorch, TensorFlow, Keras), as well as familiarity with cloud providers like GCP/AWS, container technologies (e.g., Docker, Kubernetes), and web application development (e.g., Flask, Django)

• Experience deploying or integrating LLMs, LLM APIs, Agents, and prompt engineering in production environments

• Strong Python skills and hands-on experience with ML infrastructure and data workflows

• Background in document understanding, OCR, or applied NLP

• Exposure to financial or tax-related data environments

• Prior experience in a startup or early-stage product environment

• Soft Skills

• Exceptional problem-solving abilities, curiosity, and product intuition

• Outstanding communication skills to engage directly with domain experts, translating complex needs into technical solutions

• Demonstrated growth trajectory through promotions or increased responsibilities

• 14 more items(s)

Benefits

• Compensation: Competitive base salary + bonus + equity

• Visa: Sponsorship available for outstanding candidates

Responsibilities

• They convert intricate tax documents into structured, actionable data within minutes, achieving over 99% accuracy on income lines and seamlessly integrating into Excel and API systems

• Work type: Full Time, 5 days a week On-Site

• This pivotal role will further enhance our client's GenAI-native platform for tax document processing, balancing the agility of a startup environment with support from a large multinational firm

• Develop and scale ML and product infrastructure driving intelligent tax document processing at production levels

• Design and optimize inference systems, dataset pipelines, and specific logic to enhance accuracy, speed, and quality as operations extend to millions of documents

• Collaborate with accountants and tax domain experts to understand workflows, challenges, and quality standards, translating insights into effective productized ML systems

• Integrate inference pipelines into a seamless user experience that transforms document processing for tax professionals

• Create expert systems encapsulating institutional tax knowledge into scalable, maintainable software components

• Conduct experiments, evaluate outcomes, and rapidly iterate on core ML metrics

• Work cross-functionally with product, engineering, and leadership teams to influence technical direction and product vision

• 7 more items(s)

More job highlights

Job description

About the job: Principal Machine Learning Engineer for Applied AI

About Us

Catalyst Labs is a leading talent agency that specializes in Applied AI, Machine Learning, and Data Science.

We excel in connecting exceptional talent with AI-first startups and established tech companies, helping them build advanced products powered by LLMs and generative AI.

We collaborate closely with founders, CTOs, an...d Heads of AI to drive the next wave of intelligent solutions, from model optimization to productized AI workflows.

Our Client

Our client, based in San Francisco, is pioneering a GenAI-native platform that transforms the complex task of financial and tax document processing.

They convert intricate tax documents into structured, actionable data within minutes, achieving over 99% accuracy on income lines and seamlessly integrating into Excel and API systems.

Catering to sophisticated players in private wealth and asset management, their service enables rapid and insightful decision-making.

With support from industry veterans, their team merges robust product craftsmanship with advanced machine learning capabilities.

Recently acquired by a global technology leader, this company represents the innovative spirit of a startup combined with the stability of an established enterprise.

By joining their team, you'll work alongside proven builders who have successfully scaled products to acquisition, developing systems that manage billions of data points and employ GenAI to revolutionize financial data processing.

Location: Union Square, San Francisco

Work type: Full Time, 5 days a week On-Site.

Compensation: Competitive base salary + bonus + equity.

Visa: Sponsorship available for outstanding candidates.

What We Are Looking For

We are seeking a skilled Principal Machine Learning Engineer for Applied AI with over 5 years of experience developing and scaling commercial machine learning systems, particularly in document understanding and data extraction.

You are an experienced builder who excels in integrating real-world functionalities with AI/ML engineering, utilizing your expertise to provide meaningful value to end-users.

This pivotal role will further enhance our client's GenAI-native platform for tax document processing, balancing the agility of a startup environment with support from a large multinational firm.

• Develop and scale ML and product infrastructure driving intelligent tax document processing at production levels.

• Design and optimize inference systems, dataset pipelines, and specific logic to enhance accuracy, speed, and quality as operations extend to millions of documents.

• Collaborate with accountants and tax domain experts to understand workflows, challenges, and quality standards, translating insights into effective productized ML systems.

• Integrate inference pipelines into a seamless user experience that transforms document processing for tax professionals.

• Create expert systems encapsulating institutional tax knowledge into scalable, maintainable software components.

• Conduct experiments, evaluate outcomes, and rapidly iterate on core ML metrics.

• Work cross-functionally with product, engineering, and leadership teams to influence technical direction and product vision.

Qualifications

Core Experience

• 4+ years in machine learning / AI engineering with proven end-to-end ownership of ML-driven products.

• Demonstrated success in developing systems that deliver direct user value rather than research prototypes or internal tools.

• Experience managing large, complex datasets and optimizing for accuracy, scalability, and reliability. Proficient in building, measuring, and iterating on ML systems and ML-driven consumer or enterprise products.

• Proficiency in Python and popular ML libraries (e.g., pandas, scikit-learn, spaCy, PyTorch, TensorFlow, Keras), as well as familiarity with cloud providers like GCP/AWS, container technologies (e.g., Docker, Kubernetes), and web application development (e.g., Flask, Django).

• Experience deploying or integrating LLMs, LLM APIs, Agents, and prompt engineering in production environments.

• Strong Python skills and hands-on experience with ML infrastructure and data workflows.

• Background in document understanding, OCR, or applied NLP.

• Exposure to financial or tax-related data environments.

• Prior experience in a startup or early-stage product environment.

Soft Skills

• Exceptional problem-solving abilities, curiosity, and product intuition.

• Outstanding communication skills to engage directly with domain experts, translating complex needs into technical solutions.

• Demonstrated growth trajectory through promotions or increased responsibilities.

This is an exciting opportunity for professionals eager to make a significant impact in the realm of applied AI and machine learning.

We invite you to apply and become a part of our innovative team!

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