🛠 Tech Stack

💼 About This Role

You'll work on the credit engine that underpins Block's capital-intensive products, applying machine learning to unlock credit access for underbanked customers. You'll own the full modeling stack from data curation to production deployment, driving top-line growth for Square Financial Services.

🎯 What You'll Do

• Apply scientific mindset to underwrite new customer segments using alternative data sources
• Lead ML Operations and infrastructure initiatives to advance modeling capabilities
• Design and implement full credit modeling stack from data pipelines to production
• Use data science to leverage new data sources and improve credit policy

📋 Requirements

• 8+ years experience with machine learning in production (or 6 years with Master's)
• Degree in Computer Science, Mathematics, Statistics, Physics, or Engineering
• Strong quantitative intuition and data visualization skills
• Full-stack proficiency from data pipelines to production software architecture

✨ Nice to Have

• Advanced degree or research track record
• Experience with tree-based models and gradient boosting

🎁 Benefits & Perks

• 💰 Market-based pay with zone-adjusted salary ranges
• 🏖️ Flexible remote work options
• 📈 Equity and ownership opportunities
• 🏥 Comprehensive health coverage

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interviews· 4 hours

🚩 Heads Up

• Extensive salary range ($194k-$343k) may indicate internal equity concerns