Staff Machine Learning Engineer

About the role

MoonPay is seeking a Staff Machine Learning Engineer to own the decisioning system and underlying platform for real-time transaction processing. This role involves building and maintaining the entire machine learning lifecycle, with a primary focus on fraud detection and prevention. You will lead technical initiatives, scale infrastructure, and ensure high-availability services operate within strict latency budgets.

Responsibilities

• Lead through ambiguity by turning vague problems into well-defined solutions.
• Build and scale feature infrastructure across batch, near-real-time, and in-request paths.
• Maintain alignment between training and serving to ensure consistent model behavior.
• Integrate feedback loops to capture decision outcomes and improve system performance.
• Design and own services that score transactions in-flight within hard latency budgets.
• Mature replay, shadow, and staged-rollout tooling for safe, continuous model deployment.
• Manage models across their entire lifecycle from training through to retirement.

Required skills

• Real-time serving
• Systems thinking
• Engineering craft
• Production pipelines
• Machine learning lifecycle

Nice to have

• Decision explainability
• Anomaly detection
• GCP
• BigQuery
• Bigtable
• Memorystore
• Vertex AI
• Kubernetes

Benefits

• Competitive salary package
• Equity package
• Pay-for-performance equity bonus
• Moonshot award
• Pension
• Employee referral program
• Flexible Time Off
• Recharge Period
• Birthday leave
• Enhanced parental leave

About the Company

MoonPay is a high-standards, high-velocity company building the operating system for value movement, including crypto, stablecoins, and tokenized assets. With over 30 million customers and 500 ecosystem partners, the company operates with AI as its default mode and emphasizes outcomes, ownership, and high-impact engineering.