Machine Learning Engineer III
Amtex Enterprises
Machine Learning Engineer III
Duration: 18+ Months
Rate: $60/hr on Amtex W2
Location: San Jose, CA (primary) or Chicago, IL (3 days onsite and 2 days remote)
Beside AI experience, we would like to add a couple of new requirements:
- Strong coding skills
- Experience of leading a project is a big plus!
Start Date: ASAP
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):
- BigQuery, Python
- Understanding of production systems architecture and offline data
- 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
Vacancy posted 1 day ago
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