Senior Machine Learning Engineer I
Core
Building, maintaining, and monitoring production ML models and offline experimentation frameworks for fraud detection and revenue protection.
Role type
Senior IC machine learning engineer (fraud detection)
Builds
Core fraud detection models, model training/evaluation infrastructure, and ML pipeline components
Domain
Fintech / Payments / Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning theory, statistical evaluation, supervised/unsupervised learning at scale, Python, SQL, Spark, end-to-end ML project lifecycle management
Preferred skills
Fraud/fintech/payments/e-commerce domain experience, Master's or PhD, well-tested production-grade code
Technologies
Python, SQL, Spark, key ML libraries
Responsibilities
Identify, prototype, and integrate new ML technologies to enhance fraud detection; design and implement ML pipeline components for high-velocity experimentation; partner with Product, Engineering, and Risk teams to align ML initiatives with business needs; champion best practices in testing, documentation, and model monitoring
Seniority
Senior, hands-on IC
