Machine Learning Engineer

Machine Learning Engineer (NLP Focus)

Fully Remote
Preferred

Location:

Midwest (Indianapolis, IN or Chicagoland area preferred)

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  we continue to grow, we are expanding our machine learning team to further enhance the accuracy, efficiency, and scalability of our solutions.

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.

• 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

• 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
  • Py Torch
  • spaCy
  • Hugging Face
• Excellent analytical, problem-solving, and communication skills

• 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

• 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