Machine Learning Engineer, Stripe

Responsibilities:

• Designing, training, improving & launching machine learning models using tools such as XGBoost, Tensorflow, and PyTorch.
• Propose and implement ideas that directly impact Stripe’s top-line metrics.
• Propose 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
• Work with product and engineering partners, as well as risk and policy teams to build solutions that fit product needs.
• Collaborate with stakeholders and drive end-to-end projects involving a variety of technologies and systems to successful completion.

Requirements & Skills:

• 3+ years of industry experience doing software and model development on a data or machine learning team in a production environment
• Have experience in Python, Scala (Spark)
• 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, and slicing and dicing data to evaluate a hypothesis
• Hold yourself and others to a high bar when working with production systems
• Take pride in taking ownership and driving projects to business impact
• Thrive in a collaborative environment
• An advanced degree in a quantitative field (e.g. stats, physics, computer science)
• Experience in the fraud or risk space
• Have experience in Ruby
• Familiarity with NLP