Tech Stack

Description

You will develop advanced deep learning models that tackle complex payment challenges, from fraud detection to authorization optimization, and deploy scalable ML solutions across Stripe's payment products. Working with product teams, you'll identify high-impact opportunities and architect reusable foundation models that drive measurable business impact.

Requirements

• 7+ years of end-to-end ML development in industry with production models
• Proficient in Python, Scala, and Spark
• Proficient in deep learning and LLM/foundation models
• MS/PhD in quantitative field or ML/AI preferred
• Experience manipulating data for analysis and evaluating ML solutions

Responsibilities

• Design and deploy deep learning architectures and foundation models for payment entities
• Identify high-impact opportunities and drive long-term ML roadmap
• Architect generalizable ML workflows for rapid scaling and optimized performance
• Deploy ML models online and ensure operational stability
• Experiment with advanced ML techniques and ideate on product applications