Staff Machine Learning Engineer, Radar
Core
Building and deploying real-time deep learning models to detect fraud across Stripe's global payments network and power the Radar product suite.
Role type
Staff Machine Learning Engineer (Fraud Detection)
Builds
Production ML models, large-scale ML systems, and new fraud defense products
Domain
Fintech / Payments / Fraud Detection
Deliverable
production ML models
Required skills
Deep learning, PyTorch, TensorFlow, XGBoost, Spark, Large-scale data pipelines, Model deployment, System design, Data quality optimization
Preferred skills
NLP, LLMs, Transformers, Adversarial machine learning, Fintech domain experience, PhD in ML/AI
Technologies
PyTorch, TensorFlow, XGBoost, Spark
Responsibilities
Design, build, train, evaluate, and deploy ML models for fraud detection; Build large-scale ML systems operating on diverse data; Develop automated pipelines for offline and online model training; Integrate models into production systems ensuring scalability; Collaborate with product and engineering partners; Mentor engineers and contribute to ML engineering culture
Seniority
Staff, hands-on IC with mentorship
