About the company
MoonPay is the world’s leading web3 infrastructure company. We provide end-to-end solutions for payments, enterprise-scale smart contract development, and digital asset management. Many of the world’s most iconic brands rely on MoonPay to power their web3 strategies and ideas.
Job Summary
What you will do
📍 Build and integrate data pipelines for ingesting data, processing and serving features in real-time in a high throughput/low latency environment 📍Support multiple data models that serve critical data for FinCrime products (ML models, risk engine, etc.) 📍Own our Feature Store development, expanding our feature engineering capabilities for stateless and stateful data for both offline and online serving 📍Enhance our monitoring capabilities, adding new data alerts for drift, anomalies, latency, etc 📍Analyze large datasets using SQL, Apache Beam and Polars to surface features 📍Help build AI-powered automation tools or pipelines and propose improvements across the company 📍Maintain and improve our existing codebase, expanding our internal Feature Store and ML libraries and pipelines
What you will be working with/on
📍 Apache Beam 📍Dataflow 📍BigTable 📍Redis 📍BigQuery 📍Python, Polars, Pandas and Numpy 📍ML feature engineering for fraud prevention 📍FastAPI, Docker, Kubernetes 📍Kubeflow and Airflow 📍Vertex AI 📍Pydantic 📍DataDog 📍Github
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