Machine Learning Engineer
Katapult
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Design, build, and maintain backend APIs and services supporting credit risk and fraud decisioning
- Deploy and operate machine learning models, scorecards, and business rules in production
- Own system reliability, performance, and observability for underwriting and fraud services
- Debug and resolve production issues affecting decision accuracy or service availability
- Partner closely with data scientists to productionize models and ensure safe, repeatable deployments
- Improve system architecture to support scalability, fault tolerance, and operational robustness
- Implement monitoring and alerting for model behavior, decision outcomes, and system health
- Collaborate with Credit Risk Strategy, Risk Modeling, Tech, and Operations teams to translate strategy into live decisions
- Develop deep expertise in Katapult’s credit risk and fraud infrastructure
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
- 3+ years of professional experience with a strong emphasis on backend or platform engineering
- 2+ years of experience deploying and operating machine learning models in production environments
- Strong experience building Python-based services and APIs
- Experience with cloud infrastructure (AWS preferred), including deployment, scaling, and monitoring
- Solid understanding of software engineering best practices: testing, CI/CD, version control, and documentation
- Proficiency in Python and SQL
- Experience across the ML lifecycle, with emphasis on deployment, monitoring, and iteration
- Strong debugging skills and comfort working with mission-critical systems
- Ability to communicate technical concepts clearly to diverse audiences
- Strong sense of ownership, attention to detail, and ability to work independently
- Experience with fraud systems, risk platforms, NLP, or LLM-based models is a plus.
Benefits
- Competitive benefits package
- Engaging culture
- Opportunities for career advancement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLbackend engineeringmachine learning deploymentAPI developmentcloud infrastructurescalabilityfault toleranceCI/CDsoftware engineering best practices
Soft Skills
debuggingcommunicationattention to detailownershipindependence
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer Science