Block

Staff Applied Machine Learning Engineer - Fraud & Abuse

Block
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3 months ago

Base Salary

$277k - $415k/yr

Responsibilities

  • Build and operate real-time and batch ML decisioning systems for payment fraud, scams, identity and account integrity, merchant and marketplace risk, and abuse prevention.
  • Integrate behavioral, graph, device, network, event-stream, and third-party signals into low-latency model serving, decision APIs, and product controls.
  • Own data contracts, feature quality, online/offline consistency, monitoring, drift detection, safe rollout, rollback, and incident response for production risk decisions.
  • Develop verified AI-assisted workflows for triage, investigation support, alert clustering, graph exploration, simulation, and post-incident learning.
  • Partner with modelers, analysts, product, compliance, and operations teams to balance fraud losses, customer access, false positives, support burden, product velocity, and trust.
  • Create reusable decision and evaluation capabilities for product services, internal tools, and AI-assisted workflows.

Requirements

  • 12+ years of experience building and operating production software and ML systems for business-critical products.
  • Deep expertise in fraud and risk domains such as payment fraud, identity and account integrity, merchant or marketplace risk, scams, trust and safety, abuse prevention, or compliance decisioning.
  • Strong production ML judgment across feature pipelines, model serving, evaluation, monitoring, low-latency integration, safe rollout, and incident response.
  • Sound judgment regarding false-positive tradeoffs, noisy labels, adversarial behavior, customer harm, and cross-functional decisions.
  • Experience using AI-assisted engineering tools with appropriate verification, testing, and review for high-stakes systems.
  • Experience with graph-based fraud detection, behavioral sequence models, embeddings, entity resolution, anomaly detection, or human-in-the-loop review is preferred.
  • Experience building fraud operations tooling for triage, case management, alert clustering, graph exploration, or policy simulation is preferred.
  • Experience with regulated financial services, model governance, auditability, explainability, or decision logging is preferred.

Benefits

  • Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning benefits are offered.
  • The role is based in the U.S. with pay varying by location zone.
  • Block provides reasonable accommodations and an inclusive interview experience.
Block

About Block

10,000+ employees

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

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