Stripe is looking to lower its credit risk at scale while retaining a best in class user experience.
Requirements
Experience designing and training machine learning models to solve critical business problems
Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis
Responsibilities
Design and deploy new models to iteratively improve Stripe’s business-critical models and systems that understand a user’s credit risk
Build the next generation of model training and scoring infrastructure, in close collaboration with our infrastructure teams
Imagine new feature ideas and design data pipelines to incorporate them into our models
Improve the way we evaluate and monitor our model and system performance
Other
An advanced degree in a quantitative field (e.g. computer science, stats, physics, engineering)
3+ years experience in software engineering in a production environment
The ability to thrive in a collaborative environment involving different stakeholders and subject matter experts
Pride in working on projects to successful completion involving a wide variety of technologies and systems
