Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems

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Block is seeking a Staff Applied Machine Learning Engineer to build production ML systems that transform customer behavior and model outputs into trusted signals for recommendations, ranking, and decisioning. This role focuses on customer intelligence and reusable ML systems, including ranking, retrieval, recommendations, propensity, and next-best-action, working across product, growth, and risk teams.

• Build and operate production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities.
• Design production data and signal contracts defining intended use, freshness, provenance, confidence, eligibility, and calibration.
• Own ranking, retrieval, recommendation, search, propensity, and next-best-action systems end-to-end, from feature generation through serving and monitoring.
• Evaluate customer and business impact beyond short-term conversion, including trust, fairness, access, risk, compliance, and long-term engagement.
• Partner with product, growth, data, platform, risk, and compliance teams to translate ambiguous goals into measurable ML system designs.
• Use AI and agents to accelerate development, analysis, testing, documentation, and operations while exposing reusable capabilities.