Machine Learning Engineer

Summary

Join K1x, a leading data distribution platform for alternative investments, as a Machine Learning Engineer. You will develop and optimize machine learning models for processing financial and tax documents, collaborating with cross-functional teams to integrate these solutions into software products. This role requires applying statistical analysis, mentoring junior team members, and communicating complex technical results. The ideal candidate possesses a Master's or PhD in a relevant field, 6+ years of experience in data science with NLP/NLU focus, and proficiency in Python and machine learning frameworks. The position is fully remote, with a preference for Midwest-based candidates.

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)
• Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience
• 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)

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

Preferred Qualifications

• Previous experience with applications of NLP to financial documents
• Familiarity with alternative investment accounting needs
• Experience deploying machine learning models using containerization and orchestration technologies

Benefits

• Unlimited Vacation Policy + Sick Time + Holidays
• Paid Parental Leave
• Fully Remote Opportunity
• Healthcare Benefits and 401K