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

Block
Seattle
Workplace: RemoteFull timeUSD 228,700 - 343,100 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Leadership","Analytical thinking","Teamwork"]

Lead end-to-end development of the credit engine within Square Financial Services, shaping data-driven underwriting for new customer segments, building scalable ML infrastructure, and delivering production-grade models within a regulated banking context.

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FursaFursa
Block
Block
3 months ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead end-to-end development of the credit engine within Square Financial Services, shaping data-driven underwriting for new customer segments, building scalable ML infrastructure, and delivering production-grade models within a regulated banking context.
Location: Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Apply a rigorous scientific mindset to underwriting new customer segments, evaluating external data sources and deploying advanced architectures to improve predictive accuracy.
  • •Lead ML Operations and Infrastructure initiatives to scale data ingestion and enable more complex neural networks.
  • •Design and implement the full credit modeling stack, owning the lifecycle of credit decisioning and production integration.
  • •Use data science techniques to leverage new data sources for modeling and clarify business decisions.
  • •Identify and execute material improvements to credit policy with analytical rigor to improve outcomes for customers and the portfolio.

Pay and Benefits

Salary: USD 228,700 - 343,100 annually
Perks:Remote WorkHealth Insurance

Key Requirements

  • •8+ years of related experience with a Bachelor's degree; or 6 years and a Master’s degree; or a PhD with 3 years experience in ML/model deployment in production environments.
  • •Bachelor’s or higher in a technical field (CS, Math, Stats, Physics, Engineering) with strong research track record preferred.
  • •Strong quantitative intuition and data visualization skills with ability for ad-hoc and exploratory analysis.
  • •Full-stack proficiency across data pipelines to production-grade software architecture.
  • •Excellent communication with technical and non-technical audiences, especially for high-visibility projects and stakeholders.
Experience:8+ yearsFintechFinancial servicesCreditMachine learning
Education:Bachelor's
Skills:CommunicationProblem-solvingLeadershipAnalytical thinkingTeamwork
Languages:English
Tech Stack:PythonSQLTensorFlowPyTorchScikit-learnData pipelinesNeural networksTree-based modelsGradient boosting

Company Brief

Block
Builds financial services and commerce tools to empower businesses and individuals, operating products such as Square, Cash App, Spiral (Bitcoin initiatives), TIDAL, and developer-focused payment and banking solutions.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2009
WebsiteLinkedIn