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

Block (Afterpay)

Bay Area, CA, United States
Zone a: $228,700 - $343,100 usd; zone b: $217,300 ...
On-site
8+ years ml experience in production
Full-stack proficiency data pipelines
Advanced statistical modeling techniques
The role involves full-stack ownership of the credit engine, from data curation to implementing decisioning logic that drives company growth

Job Summary

  • The role involves full-stack ownership of the credit engine, from data curation to implementing decisioning logic that drives company growth.
  • Candidates must apply a rigorous scientific mindset to evaluate alternative external data sources and deploy advanced architectures for enhanced predictive accuracy.
  • The position requires balancing rapid innovation with the strict safety, soundness, and compliance requirements of a regulated bank.

Matching Summary

The role involves full-stack ownership of the credit engine, from data curation to implementing decisioning logic that drives company growth.

Salary

Zone A: $228,700 - $343,100 USD; Zone B: $217,300 - $325,900 USD; Zone C: $205,900 - $308,900 USD

Skills & Requirements

Must-have

  • 8+ years ML experience in production
  • Full-stack proficiency data pipelines
  • Advanced statistical modeling techniques
  • Regulated banking environment experience
  • Tree-based models and gradient boosting

Nice-to-have

  • Scientific research background
  • Adaptability to new methodologies
  • Executive stakeholder communication
  • Pragmatic problem-solving approach
  • Data visualization expertise

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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