Senior/Staff Machine Learning Engineer

📋 Description Design, build, deploy risk ML models (fraud, scams, account takeover) Own end-to-end production ML systems: features, training, serving, monitoring Collaborate with risk/product teams to operationalize models into controls Build LLM-based risk capabilities: agents, tool calling, retrieval-augmented generation Ensure explainability and governance; maintain safety and audits 🎯 Requirements Significant ML engineering experience; production-ready systems Strong Python; PyTorch, TensorFlow, XGBoost, LightGBM, scikit-learn Strong ML fundamentals: supervised learning, anomaly detection, representation learning Experience with AI-assisted engineering; LLM tooling and safe production workflows Experience building AI agents for fraud/risk/compliance domains Excellent communication and cross-functional collaboration 🎁 Benefits Performance bonus and long-term incentives Comprehensive medical, financial, and other benefits Global offices and diverse, inclusive culture Career growth and learning opportunities