Real-time Fraud ML Engineer

Stripe; United States; On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Equity

Bonus / commissions

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe’s Radar ML team builds the fraud detection models that protect the company’s vast payment network. You will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers.

You will have opportunities to optimize Stripe’s most intensive ML models and ship 0-to-1 products from scratch. The role emphasizes collaboration with engineering and product teams to accelerate fraud detection at scale and to

Qualifications

• 2+ years of experience training, evaluating, and deploying ML models in a production environment.
• Proficiency in Python and common data and ML frameworks like SQL, Spark, and PyTorch.
• Strong knowledge of production ML systems; and data analysis, statistics, and experiment design fundamentals.

Responsibilities

• Build, train, evaluate, and deploy ML models that detect fraud across Stripe’s global payments network.
• Research emerging fraud patterns like token theft and develop ML solutions to address them.
• Apply advances in deep learning to improve model quality and detection rates at scale.
• Co-build new fraud and abuse products directly with top users.

Tools

Python

SQL

Spark

PyTorch

Job description

Stripe’s Radar ML team builds the fraud detection models that protect the company’s vast payment network. You will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers.

You will have opportunities to optimize Stripe’s most intensive ML models and ship 0-to-1 products from scratch. The role emphasizes collaboration with engineering and product teams to accelerate fraud detection at scale and to