Machine Learning Engineer, Identity Product

As a Machine Learning Engineer focused on Identity, you will own the end-to-end lifecycle of applied ML models powering identity verification and fraud prevention at scale. You will collaborate closely with software engineers, ML engineers, data scientists, and infrastructure teams to design, build, deploy, and operate ML-powered decisioning systems. You will design and deploy models using Spark, Presto, XGBoost, TensorFlow, and PyTorch, and iteratively improve verification and fraud models. You will integrate new signals into ML pipelines, derive new features, and streamline workflows to accelerate model updates. You will integrate models into core payment flows, contributing to lower costs and stronger fraud controls. You will partner cross-functionally to align ML solutions with product management, risk, and infrastructure teams.