Machine Learning Engineer - Credit Intelligence - Remote

Overview

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

In Short

• 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

Requirements

• An advanced degree in a quantitative field (e.g. computer science, stats, physics, engineering)
• 3+ years experience in software engineering in a production environment
• 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

Benefits

• 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