Real-Time Fraud & Risk ML Engineer – Equity Eligible

Stripe; New York (NY); On-site; USD 212,000 - 318,000; Full time

Benefits offered by this job

Equity

Annual bonus

401(k)

Comprehensive health benefits

Job summary

Stripe is seeking a seasoned machine learning engineer to join the Link Fraud and Auth team. You will build and operate models and risk decisioning systems that protect payments while enabling legitimate transactions at scale.

You’ll work across the ML lifecycle, collaborating with Engineering, Product, and Data Science to move model improvements from idea to production with measurable impact on fraud performance and authorization rates.

Qualifications

• 6+ years building and shipping ML models in production.
• Proficient in Python, SQL, Spark, and XGBoost.
• Experience with data pipelines, model evaluation, and monitoring.

Responsibilities

• Build, deploy, and monitor ML models for fraud and risk.
• Develop real-time risk decisioning systems at scale.
• Collaborate with Engineering, Product, Data Science, and Risk teams.

Skills

Collaboration

Problem solving

Open-ended problems

Tools

Python

SQL

Spark

XGBoost

ML pipelines

Job description

Stripe is seeking a seasoned machine learning engineer to join the Link Fraud and Auth team. You will build and operate models and risk decisioning systems that protect payments while enabling legitimate transactions at scale.

You’ll work across the ML lifecycle, collaborating with Engineering, Product, and Data Science to move model improvements from idea to production with measurable impact on fraud performance and authorization rates.