The opportunity
Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted.
What you'll do
Build, train, evaluate, deploy, and own machine learning models that detect fraud and abuse across Link.
Use large-scale datasets to investigate emerging threats, develop hypotheses,: and identify opportunities to improve payment performance.
Develop pragmatic machine learning solutions, including tree-based models and: other approaches suited to real-time risk decisioning.
Design data pipelines, features, evaluation methods, experiments, and: monitoring systems that support reliable production models.
Build and improve risk decisioning systems that integrate with other parts of Stripe’s payments stack.
Own ambiguous problems from initial analysis and problem definition through: technical design, implementation, launch, measurement, and iteration.
What they're looking for
- + years of industry experience building and shipping machine learning models in production.
- Strong programming skills in Python and experience with common data and: machine learning tools, such as 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.
- Demonstrated ability to take an open-ended business problem, determine where: machine learning can help, and own the solution through production.
- Strong judgment in selecting practical modeling approaches and evaluating: tradeoffs among model performance, system complexity, latency, and business impact.
- Strong collaboration skills and the ability to work across teams and contribute to peers' success.
- Experience applying machine learning to fraud detection, risk modeling,: payment authorization, identity, account security, or another adversarial domain.
