Machine Learning Engineer (NLP Focus)
Fully Remote
Preferred Location: Midwest (Indianapolis, IN or Chicagoland area preferred)
About the Company
We are a fast-growing, AI-driven fintech company transforming how alternative investment firms manage complex tax and financial reporting workflows. Our proprietary technology digitizes and extracts critical data from partnership tax documents, bringing automation and intelligence to a traditionally manual and fragmented process.
Our platform leverages advanced machine learning and natural language processing to solve highly complex document challenges at scale. As we continue to grow, we are expanding our machine learning team to further enhance the accuracy, efficiency, and scalability of our solutions.
About the Role
We are seeking a highly skilled and experienced Machine Learning Engineer with deep expertise in Natural Language Processing (NLP/NLU) and experience working with unstructured and semi-structured data, particularly financial statements and tax documents.
In this role, you will design, build, optimize, and deploy machine learning models that power a sophisticated document intelligence platform. You will work on challenging real-world problems involving complex PDF tax documents and financial data, playing a key role in advancing our AI capabilities.
This is an ideal opportunity for an experienced Machine Learning Engineer or Data Scientist who thrives in a startup environment and enjoys delivering production-grade ML solutions that directly impact customers.
Key Responsibilities
Develop and optimize machine learning models to parse, extract, and categorize data from complex PDF tax documents
Build and refine NLP/NLU systems for processing unstructured and semi-structured financial data
Lead end-to-end data science initiatives — from problem definition and experimentation to deployment and monitoring
Apply statistical analysis to uncover signals, trends, and insights that inform product enhancements
Collaborate cross-functionally with engineering, product, and leadership teams to integrate ML solutions into customer-facing applications
Mentor junior data scientists and contribute to a collaborative, high-performing technical culture
Clearly communicate complex technical findings to both technical and non-technical stakeholders
Required Qualifications
Master’s or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field — or equivalent practical experience
6+ years of industry experience as a Data Scientist or Machine Learning Engineer, with a strong focus on NLP/NLU
Proven experience leading full lifecycle data science projects in production environments
Strong proficiency in Python
Deep experience with machine learning frameworks and libraries such as:
scikit-learn
PyTorch
spaCy
Hugging Face
Excellent analytical, problem-solving, and communication skills
Preferred Experience
Experience applying NLP to financial or tax-related documents
Familiarity with alternative investment accounting or partnership reporting requirements
Experience deploying machine learning models using containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience working in a high-growth startup or fast-paced environment
What We Offer
Fully Remote Work Environment
Unlimited PTO + Sick Time + Paid Holidays
Paid Parental Leave
Comprehensive Healthcare Benefits
401(k) Plan
Opportunity to work on complex, high-impact AI challenges
Collaborative and innovative startup culture