Remote Software Engineer, Machine Learning Infrastructure

Summary

Join Stripe's Machine Learning Infrastructure group as a Software Engineer to build powerful infrastructure for ML at Stripe, working closely with engineers, data scientists, and platform teams. You'll design and build fast services for ML model training and serving, creating seamless transitions from experimentation to production.

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