Catalyst Labs · 3 months ago
Applied AI / ML Engineer
Washington D.C., District of Columbia, United States
Full-time
Onsite
Senior Level
5+ years expCatalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an Applied AI / ML Engineer to build and scale their GenAI-native platform for tax document processing, focusing on improving accuracy, speed, and quality through machine learning systems.
Management Consulting
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
Qualification
Required
5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction
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
Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products
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
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
Benefits
Above market base
Bonus
Equity
Sponsorship available for candidates with demonstrated brilliance and expertise
Company
Catalyst Labs
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase