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

3 months, 1 week ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Machine Learning Neural Networks
Apply Now
Block

Block

Block is a company that consists of Square, Cash App, Spiral, TIDAL, TBD, and foundational teams. They are focused on economic empowerment by creating tools to expand access to the economy. Square helps sellers run and grow businesses, Cash App redefin...

Capital Markets
10K-50K
Founded 2009
View All Jobs 68

Description

  • Apply scientific and statistical methods to evaluate new customer segments and improve underwriting performance.
  • Lead ML operations and infrastructure initiatives, including data ingestion scaling and support for more advanced model architectures.
  • Design and implement the full credit modeling stack from data signal curation through production decisioning logic.
  • Use data science techniques to turn messy external and internal data sources into usable modeling inputs.
  • Identify and execute improvements to credit policy that improve customer outcomes and portfolio performance.
  • Support updates to existing models and troubleshoot issues in a real-time production environment.
  • Operate within the requirements of a regulated banking environment, balancing innovation with safety, soundness, and compliance.

Requirements

  • 8+ years of related experience with a bachelor's degree, 6+ years with a master's degree, or a PhD with 3+ years of experience in machine learning or statistical models deployed in production.
  • Degree in a technical field such as Computer Science, Mathematics, Statistics, Physics, or Engineering.
  • Strong quantitative intuition and data visualization skills.
  • Proven ability to conduct sophisticated ad-hoc and exploratory analysis.
  • Full-stack proficiency preferred, with the ability to work across data pipelines and production-grade software architecture.
  • Ability to communicate clearly with both technical and non-technical audiences, including executive stakeholders.
  • Pragmatic problem-solving approach with the ability to choose the right tool while navigating business, technical, and regulatory constraints.
  • Experience with tree-based models and gradient boosting is helpful but not required.
  • Demonstrated track record of scientific research or an advanced degree is strongly preferred.

Benefits

  • Market-based pay with U.S. salary zones; starting salary ranges from $194,500 to $343,100 USD depending on location.
  • Remote work.
  • Medical insurance.
  • Flexible time off.
  • Retirement savings plans.
  • Modern family planning benefits.
  • Reasonable accommodations during the recruitment process.

Interested in this position?

Apply directly on the company website

Apply Now

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