Senior Machine Learning Engineer, Model Risk Management

Responsibilities

• Independently challenge model owners across lending, fraud, and AML by reproducing results and setting acceptance thresholds
• Hunt for silent errors and model drift to prevent production failures
• Build agentic validation tooling and orchestrate agents for parallel execution
• Reason about ML systems end-to-end, including features, training, serving, and monitoring
• Tie explainability and fair-lending findings to product decisions
• Define validation standards for frontier production AI and GenAI systems

Requirements

• Quantitative degree or equivalent experience
• Senior-level experience building or validating models in high-stakes domains like credit, fraud, or financial crime
• Deep applied ML and statistics knowledge (regression, tree ensembles, deep learning)
• Proficiency in production-quality Python and SQL on large datasets
• Experience with LLMs and agentic tools
• Strong communication skills to defend conclusions to senior stakeholders

Preferred Qualifications

• Familiarity with model risk management frameworks and fair-lending standards
• Experience with experimentation and statistical rigor (holdout design, uncertainty reasoning)

About the Company

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Our brands include Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.