Remote ML Engineer, Fraud & Risk Analytics

Stripe, Inc.; Stati Uniti; Ibrido; USD 192.000 - 318.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Bonus

401(k) plan

Medical benefits

Wellness stipend

Descrizione del lavoro

Stripe, Inc. seeks an experienced ML engineer to own major ML systems from problem definition to production, shipping models that detect fraud and abuse across Stripe’s global network. You will build real-time, low-latency ML solutions and lead incident response, collaborating with engineering, product, and data science teams.

You will work in a hybrid/remote setup with opportunities to ship 0→1 products, and you’ll contribute to a scalable ML platform used by Stripe’s largest users.

Competenze

• 5+ years of production ML experience.
• Led ML projects from problem to production with measurable impact.
• Strong foundations in ML, statistics, evaluation, and experiment design.
• Strong software engineering skills and production-grade code.
• Experience operating production ML systems with data pipelines and deployment.
• Mentoring engineers or leading multi-contributor projects.
• Ability to investigate ambiguous problems and reason from data.
• Strong communication across disciplines.

Mansioni

• Lead end-to-end ML projects from framing to deployment, monitoring, and iteration.
• Build, train, evaluate, and deploy models detecting fraud across Stripe’s global network.
• Investigate emerging fraud patterns and ship protections.
• Design features and evaluation strategies for noisy, delayed, and adversarial environments.
• Balance model quality with latency, reliability, and operational cost.
• Be the go-to expert for systems and lead incident response.
• Partner with engineering, product, data science, risk to improve Radar.
• Turn recurring problems into reusable components and AI-assisted workflows.
• Mentor engineers and code-review contributions.

Conoscenze

ML engineering

Production systems

Mentoring engineers

Data-driven decisions

Strong communication

Strumenti

Python

Distributed systems

Descrizione del lavoro

Stripe, Inc. seeks an experienced ML engineer to own major ML systems from problem definition to production, shipping models that detect fraud and abuse across Stripe’s global network. You will build real-time, low-latency ML solutions and lead incident response, collaborating with engineering, product, and data science teams.

You will work in a hybrid/remote setup with opportunities to ship 0→1 products, and you’ll contribute to a scalable ML platform used by Stripe’s largest users.