Block

Staff Machine Learning Engineer, Credit Products (Square Financial Services)

Block
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3 months ago

Base Salary

$229k - $343k/yr

Responsibilities

  • Evaluate alternative external data sources and develop advanced architectures to improve underwriting predictions for new customer segments.
  • Lead ML operations and infrastructure initiatives, including scaling data ingestion and enabling more complex neural networks.
  • Design and implement the full credit modeling stack and own the lifecycle of credit decisioning models in production.
  • Use data science techniques to analyze messy datasets and inform business decisions.
  • Identify and execute material improvements to credit policy for customers and the bank’s portfolio.
  • Support model updates and troubleshoot issues in a real-time production environment.
  • Balance innovation with safety, soundness, and compliance requirements within a regulated bank.

Requirements

  • A bachelor’s degree with 8 years of related experience, a master’s degree with 6 years, or a PhD with 3 years is required.
  • A technical degree in computer science, mathematics, statistics, physics, engineering, or a related field is required.
  • Experience developing and deploying machine learning and statistical models in production environments is required.
  • Strong quantitative intuition, data visualization, and sophisticated exploratory analysis skills are required.
  • Full-stack proficiency across data pipelines and production-grade software architecture is preferred.
  • Clear communication with technical and non-technical audiences, including executive stakeholders, is required.
  • Experience with tree-based models and gradient boosting is helpful but not required.
  • Scientific research experience or an advanced degree is strongly preferred.

Benefits

  • Remote work is offered.
  • Medical insurance, flexible time off, retirement savings plans, and modern family planning benefits are available.

Categories

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.