Machine Learning Engineer, Identity Product
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The role
Lead the end-to-end lifecycle of applied ML models for the Identity product, from design to production deployment and monitoring.
Collaborate with software engineers, data scientists, and ML platform teams to build scalable, real-time decisioning systems for identity verification and fraud prevention.
Design, train, and evaluate models using Spark, Presto, XGBoost, TensorFlow, and PyTorch; derive new features and integrate signals into pipelines.
Integrate models and behaviors into the core payments flow and drive cost reduction and user safety through innovative ML solutions.
Work cross-functionally to define metrics, perform analyses, and iterate rapidly in ambiguous, high-impact environments.
Minimum 6+ years of production ML experience with strong foundations in ML algorithms and model architectures.
Collaborate with software engineers, data scientists, and ML platform teams to build scalable, real-time decisioning systems for identity verification and fraud prevention.
Design, train, and evaluate models using Spark, Presto, XGBoost, TensorFlow, and PyTorch; derive new features and integrate signals into pipelines.
Integrate models and behaviors into the core payments flow and drive cost reduction and user safety through innovative ML solutions.
Work cross-functionally to define metrics, perform analyses, and iterate rapidly in ambiguous, high-impact environments.
Minimum 6+ years of production ML experience with strong foundations in ML algorithms and model architectures.
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