AI Manager, ML Foundations at Stripe

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

We are dedicated to building and shipping the foundational AI and machine learning systems that will power our entire product suite. Our mission is to fundamentally transform how Stripe uses ML, leveraging our extensive and rich dataset to solve some of the most challenging problems in payments and fraud. We work closely with our partners in Risk, Payments, and Support to build transformative technologies that have a direct impact on our users.

What you’ll do

In this role, you will be a transformative leader with the responsibility of overseeing three critical teams within ML Foundations. You will drive the strategic direction and execution for Stripe's AI initiative shepherding large, complex ML projects from the ground up while upleveling the way the entire company thinks about and utilizes ML.

Responsibilities

• Lead the development of foundation models for payments, merchants, and other core product areas.
• Develop universal AI Assistants and Retrieval-Augmented Generation (RAG) and LLM systems to automate support and answer questions across Stripe's platforms.
• Drive the adoption of new ML and AI systems to automate merchant onboarding and workflow automation for a majority of our merchants.
• Build and lead a world-class team of ML engineers (MLEs), fostering a culture of technical excellence, collaboration, and continuous learning.

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

• 10+ years of experience in machine learning, with a strong emphasis on modern technologies such as DNNs, Transformers, and Foundation Models.
• Proven experience in managing and developing a team of managers, fostering their growth and ensuring alignment with strategic objectives
• A strong builder mentality, with the ability to define a team's charter and lead the development of complex systems from scratch.
• Proven ability to shepherd large, complex ML projects and drive transformational change in an organization.
• Deep passion for solving really interesting problems and for building the latest technologies rather than relying on outdated methods.

Preferred qualifications 

• A PhD or Master's degree with a research-oriented background, with the ability to dive into papers and stay current with academic publications.
• Experience with a large-scale, data-rich product in a domain such as payments, commerce, search, or social media.
• Knowledge of the challenges and opportunities in applying ML to fraud prevention, merchant intelligence, or financial services.