Staff Software Engineer, Machine Learning Platform
Role summary
Stripe is seeking a Staff Software Engineer for its Machine Learning Platform team. This role involves technical leadership and strategic decision-making for ML infrastructure that powers Stripe's ML-driven products. Responsibilities include end-to-end architecture, system design for complex challenges like low-latency inference and large-scale feature stores, and driving cross-team initiatives to improve ML velocity and MLOps maturity. The ideal candidate has 10+ years of software development experience, a strong background in distributed systems, and experience with production ML platforms. Preferred qualifications include experience with cloud services, LLMs, and shipping ML models to production.
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 of 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
Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe.
The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company.
What you'll do
You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe.
You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products.
Responsibilities
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
Preferred qualifications
Sample Stripe interview questions
- 1
Design a rate limiter
system designmedium - 2
Design a Distributed LRU Cache
system designmedium - 3
Design an application performance monitoring system
system designmedium - 4
Design a traffic monitoring and routing system for real-time data.
system designmedium - 5
Design a real-time system for analyzing user interactions on websites.
system designmedium
Sign up for a personalized interview prep pack tailored to this role.
