Senior ML Engineer, Fraud & Transaction Risk

Stripe, Inc.; New York (NY); In loco; USD 180.000 - 300.000; 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 and the supporting systems that protect Stripe Radar across a global payments network, adapting as data and adversaries evolve.

You will lead end-to-end efforts, collaborate with cross-functional teams, and mentor others while delivering robust, low-latency ML solutions at Stripe scale.

Competenze

• 5+ years of experience developing, evaluating, and deploying machine learning models in a production environment.
• Track record leading ML projects from problem definition to production, with measurable impact.
• Deep foundations in machine learning, statistics, model evaluation, and experiment design.
• Strong programming and software-engineering skills, with experience writing tested, maintainable code for production ML applications.
• Experience designing and operating production ML systems, including data pipelines, distributed training, low-latency inference, deployment, or monitoring.
• Experience mentoring engineers or technically leading projects with multiple contributors.
• Ability to investigate ambiguous problems, reason from data, and choose pragmatic technical approaches.
• Ability to communicate technical ideas and results clearly and collaborate across disciplines.

Mansioni

• Lead the design and delivery of ML projects end to end, from framing the problem and sizing the opportunity through deployment, monitoring, and iteration.
• Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe’s global network, and own the production systems they run on.
• Investigate emerging fraud and abuse patterns, decide where ML can have the most impact, and quickly turn insights into shipped protections.
• Design features, datasets, and evaluation strategies for noisy, delayed, and adversarial environments, and set the bar for experimental rigor.
• Make sound architecture and modeling tradeoffs between model quality, legitimate-user impact, latency, reliability, and cost.
• Be the go-to expert for the systems you own: lead incident response for model regressions, reduce operational toil, and make your systems easy to build on.
• Partner with engineering, product, data science, risk experts, and Stripe users to turn modeling improvements into differentiated Radar products.
• Turn recurring problems into reusable components, tools, and AI-assisted workflows that speed up the whole team.
• Mentor engineers, give thoughtful design and code reviews, and help new teammates ramp up quickly.

Conoscenze

Machine learning

Production ML

Experiment design

Software engineering

Mentoring

Problem solving

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 and the supporting systems that protect Stripe Radar across a global payments network, adapting as data and adversaries evolve.

You will lead end-to-end efforts, collaborate with cross-functional teams, and mentor others while delivering robust, low-latency ML solutions at Stripe scale.