Job Title : Machine Learning Engineer III
Duration: 18+ Months
Rate: $50-60/hr on Amtex W2- MAX- Depends on experience.
Location: San Jose (primary), CA or Chicago, IL
What You’ll Do
• Redesign and optimize PayPal’s MLOps and decision platform for fraud detection
• Architect large-scale big-data infrastructure enabling cutting-edge ML models for real-time fraud prevention
• Collaborate with data scientists and platform engineers to automate workflows
• Ensure compliance, security, and maintainability across the fraud detection ecosystem
• Work with high-dimensional datasets using Python, PySpark, and BigQuery for fraud signal detection
• Standardize rules and decision processes while enabling dynamic rule updates and analytics
• Collaborate across engineering, product, and data science teams to scale solutions globally
Team & Project Context
• Works closely with the Core Automation team’s tech leads/managers
• Joins the pioneer team rebuilding PayPal’s Next Generation Risk Platform (NGRP)
• Purpose: build an enterprise-wide risk platform supporting all business functions, on a tight timeline for decision engine adoption
• Extension/Conversion: No guaranteed extension; possible FTE conversion, but not promised
Typical Day
• Tasks distributed via Jira (sprint planning/grooming)
• Standups at least twice a week (daily if needed/blockers arise)
• Onboarding period requires heavier interaction with Engineering/Product/US Risk core teams; settles into a 50/50 split afterward
• Code hosted in centralized GitHub repo
• Documentation maintained on Wiki or SharePoint/shared drive
Why This Role Is Compelling
Design and implement scalable fraud detection solutions spanning model development, feature engineering, and rule-based systems — working cross-functionally with data scientists, engineers, and product managers to set a new global standard. This role offers the chance to build advanced automation frameworks and cutting-edge ML capabilities that directly protect the financial security of millions of PayPal users worldwide.
Candidate Requirements
Must-Have Skills (ranked by importance):
1. BigQuery, Python
2. Understanding of production systems architecture and offline data
3. Machine learning experience
Nice to Have: Risk/fraud experience or business acumen; experience working directly with engineers
Experience: 6+ years
Education: Master’s preferred, strong Bachelor’s acceptable — STEM only
Interested candidates send your resume to alex@amtexenterprises.com
To apply for this job email your details to alex@amtexenterprises.com
