Machine Learning Engineer, Stripe

• An advanced degree in a quantitative field (e.g. stats, physics, computer science)
• 5+ years industry experience doing software and model development on a data or machine learning team 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, and slicing and dicing data to evaluate a hypothesis
• We’re looking for ML engineers with a background and passion for building products and services incorporating applied ML technologies
• You are comfortable in dealing with changes
• You love to take initiatives, have bias towards action, and enjoy sharing learnings with others

Desirable

• We are looking for Machine Learning Engineers to own the end-to-end lifecycle of applied ML model development and deployment in service of consumer facing products like Stripe Identity and Link
• You will partner with ML engineers, product engineers, and xfn partners to define the scope of high-impact ML projects - from ideation to execution
• Design and deploy new models using tools such as XGBoost, Tensorflow, PyTorch and iteratively improve identity verification and fraud models to protect millions of users from fraud
• Work with huge payment datasets to find creative new methods of detecting and deterring fraudulent behavior
• Propose new feature ideas and design real-time data pipelines to incorporate them into our models
• Improve the way we evaluate and monitor our model and system performance
• Envision and develop new models for fraud detection
• 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