Staff Machine Learning Engineer
Core
Own the real-time decisioning system and underlying platform for fraud detection and prevention, ensuring safe, live updates and managing the entire machine learning lifecycle.
Role type
Staff Machine Learning Engineer (Real-time Systems & Fraud Detection)
Builds
High-availability serving infrastructure, feature pipelines, and model lifecycle management tools for transaction scoring.
Domain
Fintech, Cryptocurrency, Fraud Detection, Real-time Systems
Deliverable
production ML models
Required skills
Real-time serving, Systems thinking, Engineering craft, Data pipelines in production, Ambiguity and influence
Preferred skills
Decision explainability, Anomaly detection
Technologies
GCP, BigQuery, Bigtable, Memorystore, Vertex AI, Kubernetes
Responsibilities
Lead through ambiguity by turning vague problems into well-defined solutions; Build and scale the platform across batch, near-real-time, and in-request paths; Decide in real time by owning services that score transactions within strict latency budgets; Ship safely by maturing replay, shadow, and staged-rollout tooling; Own models across their lifecycle from training to retirement.
Seniority
Staff, hands-on IC with strategic influence
