Katapult

Point-of-sale payment platform

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

45 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishAWSCloudPythonSQL

Job Description

• 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

Job 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

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