Principal Machine Learning Engineer for Applied AICatalyst Labs, LLC • United States
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Principal Machine Learning Engineer for Applied AI
Catalyst Labs, LLC
- United States
- United States
Über
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!
Sprachkenntnisse
- English
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