Senior ML Engineer, Fraud & Transaction Risk (Production)

Stripe, Inc.; Seattle (WA); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Stripe, Inc. is seeking an experienced ML engineer to own major ML systems from problem definition to production.

You will design, build, and ship models that protect Stripe’s customers from fraud and abuse across the global network, using modern ML approaches and scalable architectures. You will work with a cross-functional team to drive impactful ML improvements, mentor engineers, and set the technical bar for Radar systems at Stripe scale.

Competenze

• 5+ years of experience developing, evaluating, and deploying ML models in production.
• Track record leading ML projects from problem framing to production with measurable impact.
• Deep foundations in ML, statistics, model evaluation, and experiment design.
• Strong programming and software-engineering skills for production ML apps.
• Experience designing and operating production ML systems: data pipelines, distributed training, low-latency inference, deployment, monitoring.

Mansioni

• Lead the design and delivery of ML projects end to end from framing to deployment.
• Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe’s global network.
• Investigate fraud patterns, decide where ML can have the most impact, ship protections.
• Design features, datasets, and evaluation strategies for noisy and adversarial environments.
• Make sound architecture and modeling tradeoffs between model quality, latency, and cost.
• Be the go-to expert for systems you own: lead incident response for model regressions and reduce toil.
• Partner with engineering, product, data science, risk experts, and Stripe users to improve Radar products.
• Turn recurring problems into reusable components, tools, and AI-assisted workflows.
• Mentor engineers, review designs, and help new teammates ramp up quickly.

Conoscenze

ML engineering

Production ML

Mentoring engineers

Cross-disciplinary comms

Strumenti

Python

Descrizione del lavoro

Stripe, Inc. is seeking an experienced ML engineer to own major ML systems from problem definition to production.

You will design, build, and ship models that protect Stripe’s customers from fraud and abuse across the global network, using modern ML approaches and scalable architectures. You will work with a cross-functional team to drive impactful ML improvements, mentor engineers, and set the technical bar for Radar systems at Stripe scale.