Software Engineer, Machine Learning Infrastructure

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP o the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Machine Learning Infrastructure organization provides infrastructure and support to run machine learning workflows and ship to production, tooling and operational capacity to accelerate the use of these workflows, and opinionated technical guidance to guide our users onto successful paths. 

What you’ll do

You will  work closely with machine learning engineers, data scientists, and platform infrastructure teams to build the powerful, flexible, and user-friendly systems that substantially increase ML-Ops velocity across the company.

Responsibilities

• A strong sense of curiosity and a desire to both learn and share knowledge with your peers. We like to work in a collaborative environment and hope you do too
• A solid engineering background and experience with infrastructure and/or distributed systems. You’ll work mostly in Python and Java but we care more about your general engineering skills than your knowledge of a specific language
• 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
• Experience optimizing the end-to-end performance of distributed systems

Who you are

We’re looking for someone who has built large scale machine learning infrastructure. 

Minimum requirements

• Over five years of experience building software applications in large scale distributed systems 
• Over 2 years of experience supporting Machine Learning Infrastructure 

Preferred qualifications

• Experience designing and training machine learning models to solve critical business problems