MoonPay

About the Company

We are MoonPay. Architects of the future, inventors, artists, and authors of innovation.

Our vision? To unlock digital ownership for everyone. We are onboarding the world to Web3, where people can own and control their digital identity, data, property, and money.

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.

Now boarding the next generation of leaders. Come help us build what's next.

Listed Jobs

Company Name

MoonPay

Job Title

Senior Machine Learning Engineer

Job Description

Job title: Senior Machine Learning Engineer Role Summary: Design, implement, and maintain machine‑learning systems for real‑time and batch evaluation of user transactions and behaviors, primarily to detect and prevent financial crime across crypto and payment products. Expectations: Deliver production‑grade ML models, own the end‑to‑end ML lifecycle, collaborate closely with product, data, and engineering teams, and expand internal ML libraries and pipelines. Key Responsibilities: - Build and integrate ML solutions for fraud detection and risk assessment in real‑time and offline settings. - Develop customized models for multiple crypto products to mitigate fraudulent activity. - Experiment with gradient‑boosting, ensemble, and deep‑learning techniques using customer and transaction data. - Engineer features from large datasets (SQL, Python, Apache Beam) and manage feature pipelines. - Produce and maintain AI‑powered automation tools and data pipelines. - Monitor and iterate deployed models using observability stacks. - Contribute to codebase improvements and internal ML library enhancements. Required Skills: - Proficiency in Python, Pandas, Numpy, and Polars. - Advanced model development with XGBoost/CatBoost and PyTorch. - Experience with SQL (BigQuery), Apache Beam, Kubernetes, Docker, Kubeflow, Airflow, and Vertex AI. - Knowledge of real‑time data ingestion (Kafka, Redis) and cloud‑native environments (Google Cloud, AWS, Azure). - Strong background in time‑series classification, counterfactual reasoning, and adversarial modeling. - Ability to work in a fast‑paced, iterative release cycle. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - Relevant cloud certification (Google Cloud, AWS, or Azure) preferred but not mandatory.

London, United kingdom

Remote

Senior

11-12-2025