8 hours ago
Responsibilities
- Build, train, evaluate, deploy, and own machine learning models for detecting fraud and abuse across Link.
- Investigate emerging threats using large-scale datasets and identify opportunities to improve payment performance.
- Develop practical modeling solutions, including tree-based models, for real-time risk decisioning.
- Design data pipelines, features, evaluation methods, experiments, and monitoring systems for reliable production models.
- Build and improve risk decisioning systems integrated with Stripe’s payments stack.
- Own problems from analysis and definition through technical design, implementation, launch, measurement, and iteration.
- Collaborate with Engineering, Product, Data Science, and Risk partners to deliver durable product outcomes.
Requirements
- 6+ years of industry experience building and shipping machine learning models in production.
- Strong programming skills in Python and experience with SQL, Spark, and XGBoost.
- Strong knowledge of production machine learning systems, including data pipelines, feature development, model evaluation, deployment, monitoring, and iteration.
- Experience working with large and complex datasets and applying data analysis, statistics, and experimentation fundamentals.
- Ability to determine where machine learning can help with open-ended business problems and own solutions through production.
- Strong judgment in balancing model performance, system complexity, latency, and business impact.
- Strong collaboration skills and ability to contribute to peers’ success.
- Preferred experience applying machine learning to fraud detection, risk modeling, payment authorization, identity, account security, or other adversarial domains.
- Preferred experience building real-time, low-latency machine learning or risk decisioning systems at scale.
- Preferred experience integrating models into production services and designing reliable systems around model outputs.
- Preferred experience with payments, fintech, digital wallets, or money movement.
- Preferred strong software engineering skills across the machine learning and product stack.
Tech Stack
Categories
About Stripe
Stripe builds financial infrastructure for internet businesses, offering APIs and tools for online and in‑person payments, subscriptions, marketplaces/payouts, fraud prevention, identity, tax, issuing, and treasury. It monetizes through per‑transaction fees and SaaS pricing for advanced products. Founded in 2010 and headquartered in South San Francisco, Stripe is privately held and serves companies from startups to large enterprises worldwide.