Senior / Staff Machine Learning Engineer, Fraud

We're looking for Product Engineers to build machine learning-based anti-fraud systems into core Radar products. The ideal engineer for this role is someone who has built ML based fraud detection models, leveraged in a risk based rules engine. The perfect candidate will see themselves as a generalist who has built real ML systems and is ultimately motivated by driving impact to products and customers by building end-to-end features that leverage machine learning to prevent fraud.

• Work on core Radar ML infrastructure built with Python, Rust, Airflow, Spark and new systems you build
• Build new systems for our Fraud products: anomaly detection, user and device risk scores, device fingerprinting, and emerging threat vectors
• Work on features across several of backend, data infra and ML
• Push the limits of fraud detection using many sensors on iOS and Android
• Have your work run on 300M+ devices
• Talk to Radar customers and prospects, hear their feedback, incorporate it into your work, and make them successful