Machine Learning Engineer, Identity Product
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El puesto
Own the end-to-end lifecycle of applied ML for Identity, from data signals to real-time inference.
Design, train, deploy, and operate ML-powered decisioning systems that power identity verification and fraud controls.
Collaborate with software engineers, data scientists, and platform teams to integrate new signals and derive scalable features.
Iterate on models and pipelines to improve verification accuracy, fraud detection, and user experience while controlling costs.
Build and maintain ML pipelines using Spark, Presto, XGBoost, TensorFlow, PyTorch; explore transformers and LLMs when appropriate.
Apply strong analytical skills and communicate impact with clear metrics, experiments, and cross-functional partners.
Design, train, deploy, and operate ML-powered decisioning systems that power identity verification and fraud controls.
Collaborate with software engineers, data scientists, and platform teams to integrate new signals and derive scalable features.
Iterate on models and pipelines to improve verification accuracy, fraud detection, and user experience while controlling costs.
Build and maintain ML pipelines using Spark, Presto, XGBoost, TensorFlow, PyTorch; explore transformers and LLMs when appropriate.
Apply strong analytical skills and communicate impact with clear metrics, experiments, and cross-functional partners.
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