Senior Machine Learning Engineer- Identity & Trust
Core
Develop intelligent systems to prevent fraud by assessing transaction risk and customer interaction risk in real-time.
Role type
Senior Machine Learning Engineer (Fraud Detection)
Builds
Real-time fraud detection models and systems for Remitly's global money transfer platform
Domain
Fintech / Adversarial Machine Learning
Deliverable
production ML models
Required skills
Machine learning fundamentals, experimental design, Python programming, modern ML frameworks (PyTorch, XGBoost/LightGBM, scikit-learn), cloud platforms (AWS, GCP, Azure), production deployment, handling extreme class imbalance, adversarial drift detection
Preferred skills
Graph machine learning, sequence/behavioral modeling, anomaly detection, causal inference, LLM applications to risk, fraud/risk domain experience, research publications
Technologies
PyTorch, XGBoost, LightGBM, scikit-learn, AWS, GCP, Azure
Responsibilities
Design and build ML models to identify risky transactions and behavior in production; Advance modeling capabilities with techniques for adversarial domains; Design rigorous offline and online evaluation methodologies; Take modeling work from prototype to production; Raise team scientific bar through mentoring and research integration; Collaborate with stakeholders to identify emerging fraud patterns
Seniority
Senior, hands-on IC with mentorship responsibilities