Senior Machine Learning Engineer
Core
Design, productionize, and maintain machine learning services that power data products for global payment transactions, fraud prevention, and compliance.
Role type
Senior IC machine learning engineer (payments/fraud)
Builds
Real-time transaction optimization, identity verification, dispute intelligence, and AML detection systems
Domain
Fintech / Payments / Fraud Prevention
Deliverable
production ML models
Required skills
Python, full ML lifecycle in production, big data pipelines, software engineering, data engineering, MLOps, statistics, supervised/semi-supervised learning, representation learning, time-series modeling
Preferred skills
distributed GPU compute, ML Feature Store
Technologies
PySpark, Trino SQL, TensorFlow, PyTorch, XGBoost, LightGBM, Pandas, MLFlow, Airflow, Kubernetes, Docker, Argo Workflows, Prometheus, Grafana
Responsibilities
Develop and maintain production ML pipelines for ingestion, training, validation, and deployment; Identify and fix performance bottlenecks in ML training and inference; Collaborate with software engineers to integrate ML solutions into products; Collaborate with data scientists to transition research prototypes into scalable solutions; Collaborate with MLOps and platform teams to integrate effectively with current tools; Support and encourage good engineering practices on product ML teams
Seniority
Senior, hands-on IC
