Stripe is hiring a
Software Engineer

Summary

Join Stripe's Machine Learning Infrastructure group as a Software Engineer to build powerful infrastructure for AI/ML models, work closely with engineers and data scientists, and contribute to increasing ML-Ops velocity across the company.

Requirements

• 3-5 years of experience building software applications in large scale distributed systems
• A strong sense of curiosity and a desire to both learn and share knowledge with your peers
• A solid engineering background and experience with infrastructure and/or distributed systems
• Familiarity with the full life cycle of software development, from design and implementation to testing and deployment
• Experience with building and maintaining high availability, low latency systems, especially with respect to reliability, testing, and observability
• A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course

Responsibilities

• Building powerful, flexible, and user-friendly infrastructure that powers all of ML at Stripe
• Designing and building fast, reliable services for ML model training and serving, and scaling that infrastructure across multiple regions
• Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems
• Pairing with product teams and ML engineers to develop easy-to-use infrastructure for production ML models

Preferred Qualifications

• Over 2 years of experience supporting Machine Learning Infrastructure
• Experience optimizing the end-to-end performance of distributed systems
• Experience training and shipping machine learning models to production to solve critical business problems