Staff ML Engineer: Real-World AI for Retail Security
Summary
Build and deploy ML models that turn multi-modal retail data into security insights using PyTorch, scikit-learn, and Kubernetes on a cloud-native platform.
Auror is seeking an innovative Machine Learning Engineer to turn large-scale, multi-modal data into actionable features used by retailers globally. You will own the ML lifecycle from opportunities and design through experimentation, deployment, and continuous improvement on a cloud-native platform.
You’ll work with PyTorch, scikit-learn, Dagster, Iceberg, and Kubernetes to build production-grade systems that deliver real-world impact while upholding Responsible AI principles and governance.