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Rain

Machine Learning Engineer - Fraud Risk

New York, NY (Remote)$50k–$999kfulltimemidAdded 1 month ago

About this role

Rain is seeking a Machine Learning Engineer specializing in fraud risk to develop advanced ML solutions for fraud detection and mitigation. This role offers a chance to create scalable systems and collaborate with a talented team in a fast-paced, innovative environment.

What you'll do

  • Design and build ML systems for fraud detection and behavioral analysis
  • Maintain end-to-end ML pipelines, including data ingestion and model deployment
  • Develop low-latency decision systems with fraud risk data scientists
  • Oversee ML infrastructure, including model versioning and deployment strategies
  • Establish monitoring and alerting for model performance and data quality
  • Lead experiments on model explainability and adversarial robustness

What they're looking for

  • 5+ years in ML systems production
  • Experience in fraud and anomaly detection
  • Advanced proficiency in Python and ML frameworks
  • Strong grasp of statistical modeling and machine learning techniques
  • Ability to manage ambiguity and work independently
  • Collaboration with cross-functional teams

Benefits

  • Unlimited vacation time
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Rain

Rain is a fintech infrastructure company that builds payment platforms and related software products. They're hiring engineers across mobile development, backend systems, security, compliance, and operations to scale their platform and eliminate manual processes.

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