Senior Real-Time Fraud ML Engineer for Radar

Stripe, Inc.; Seattle (WA); On-site; USD 212,000 - 318,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe, Inc. is hiring a Machine Learning Engineer for the Radar team in the United States. You will own major ML systems from problem framing through production deployment, monitoring, and iteration, focusing on fraud detection and abuse across Stripe’s global network.

You’ll collaborate with engineering, product, data science, risk experts, and key Stripe users to deliver robust Radar protections. You will ship 0→1 products and scale mission-critical models, while mentoring engineers and

Qualifications

• 5+ years developing, evaluating, and deploying ML models in production environments.
• Track record leading ML projects from problem framing to production with measurable impact.
• Strong foundations in ML, statistics, evaluation, and experiment design.
• Experience designing and operating production ML systems: data pipelines, distributed training, low-latency inference, monitoring.

Responsibilities

• Lead the design and delivery of ML projects end to end—from framing opportunities to deployment, monitoring, and iteration.
• Build, train, evaluate, and deploy models detecting fraud and abuse across Stripe’s global network and maintain production systems.
• Investigate fraud/anomaly patterns, decide where ML can have the most impact, and turn insights into protections.
• Design features, datasets, and evaluation strategies for noisy/adversarial environments and set rigorous experimentation standards.
• Make architecture and modeling tradeoffs between model quality, user impact, latency, reliability, and cost.
• Be the go-to expert for systems ownership: lead incident response for model regressions and reduce operational toil.
• Partner with engineers, product, data science, risk experts, and Stripe users to translate modeling improvements into Radar products.
• Turn recurring problems into reusable components and AI-assisted workflows to speed the team.
• Mentor engineers, provide design reviews, and assist new teammates ramp-up.

Skills

ML production

Leading ML projects

Programming proficiency

Mentoring engineers

Cross-disciplinary communication

Job description

Stripe, Inc. is hiring a Machine Learning Engineer for the Radar team in the United States. You will own major ML systems from problem framing through production deployment, monitoring, and iteration, focusing on fraud detection and abuse across Stripe’s global network.

You’ll collaborate with engineering, product, data science, risk experts, and key Stripe users to deliver robust Radar protections. You will ship 0→1 products and scale mission-critical models, while mentoring engineers and