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

Block (Square)

Seattle, WA, United States
Zone a: $228,700 - $343,100; zone b: $217,300 - $3...
On-site
8+ years ml model deployment experience
Full-stack data pipeline proficiency
Regulated banking environment experience
The role involves full-stack ownership of the credit engine, from data curation to decisioning logic implementation

Job Summary

  • The role involves full-stack ownership of the credit engine, from data curation to decisioning logic implementation.
  • Candidates must balance rapid innovation with the strict safety, soundness, and compliance requirements of a regulated bank.
  • The position offers a high-leverage opportunity to expand underwriting capabilities into previously untapped customer segments.

Matching Summary

The role involves full-stack ownership of the credit engine, from data curation to decisioning logic implementation.

Salary

Zone A: $228,700 - $343,100; Zone B: $217,300 - $325,900; Zone C: $205,900 - $308,900; Zone D: $194,500 - $291,700

Skills & Requirements

Must-have

  • 8+ years ML model deployment experience
  • Full-stack data pipeline proficiency
  • Regulated banking environment experience
  • Advanced statistical modeling skills
  • Production-grade software architecture

Nice-to-have

  • Experience with tree-based models
  • Gradient boosting expertise
  • Scientific research background
  • Strong communication with executives
  • Adaptability to new methodologies

Key Requirements

  • Bachelor's degree + 8 years experience OR Master's + 6 years OR PhD + 3 years
  • Degree in Computer Science, Mathematics, Statistics, Physics, or Engineering
  • Proven track record of deploying ML models in production environments

Work Rights

Not specified

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