Fully Remote Position
Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred
Who We Are:
K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we’re the first to produce a digital K-1. Learn more at www.k1x.io
About the role:
We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software’s ability to accurately and efficiently process partnership accounting and tax documents.
If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution!
Responsibilities
- Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents.
- Collaborate with cross-functional teams to integrate machine learning solutions into our software products.
- Apply statistical analysis to identify signals, trends, and insights that can inform product development.
- Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment.
Requirements:
- Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field
- 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects
- Demonstrated experience leading end-to-end data science project implementations
- Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
- Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy, Huggingface)
