Machine Learning Engineer

Position Overview

Katapult is a technology-forward, innovative, alternative financing company powering the inclusion economy. We're searching for a Machine Learning Engineer to add to our Data Science and Credit Risk team, and become an expert in all aspects of Katapult’s risk and data science infrastructure.  The Machine Learning Engineer will be responsible for building machine learning models, data pipelines and python-based backend APIs for our credit risk and fraud prevention decision engine. The ideal candidate has a high level of intellectual curiosity with a desire to understand Katapult's business.  If you posses meticulous attention to detail and great documentation skills this is the role for you. We're looking for an individual with strong sense of ownership and great communication skills.  While this is a remote position, the individual must reside in the United States and be authorized to work in the United States.

What You'll Do:

• Continuous development of our decision engine backend including implementation of new models and business rules
• Build data pipelines and python-based ETL tools for getting, processing, and delivering data
• Create and train new ML models and algorithms for credit risk underwriting and fraud prevention
• Perform data analysis on financial portfolio data regarding efficacy of business rules and models
• Develop data models and schemas in our database that enable performant, intuitive analysis and production grade performance
• Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability
• Research new opportunities for using Large Language Models on our internal data
• Work with stakeholders including Tech, Product, Operations, Marketing and executive teams and assist them with data-related technical issues
• Become an expert on all aspects of Katapult’s credit risk and underwriting infrastructure

Experience and Skills We're Looking For:

• Bachelor’s or Master’s degree in Computer Science, Engineering or related technical degree
• 2+ years of work experience in software/data engineering
• 2+ years of work experience building production ready Machine Learning algorithms/models
• 3+ years of work experience overall
• Experience with Cloud technologies required (AWS Preferred)
• Experience working with NLP, text-mining, LLMs preferred
• Experience with the entire data science pipeline. (EDA, Modelling, Implementation, etc.)
• Python and SQL proficiency
• The ability to communicate complex issues or ideas to broader audiences
• A highly motivated self-starter with the ability to work efficiently with minimal supervision