Machine Learning Engineer Foundation Model

@ Stripe

About Stripe

Stripe’s mission is to accelerate global economic and technological development by offering financial infrastructure and a variety of services. Stripe uses machine learning to optimize access and minimize risk across products including payments, fraud, and merchant data analytics.

About the Team

The Foundation Model team builds and ships AI and machine learning systems that power Stripe’s product suite. They solve complex challenges in payments and fraud by leveraging extensive data and the latest generative AI technologies.

What You'll Do

As a Machine Learning Engineer Foundation Model at Stripe, you will solve challenging technical problems across multiple teams. Responsibilities include:

• Developing foundation models for payments, merchants, and consumers.
• Fine-tuning and optimizing LLMs using techniques like multimodal alignment and quantization.
• Driving technical excellence through design, code quality, and architecture reviews.
• Collaborating with engineering and product leaders to unlock new capabilities.
• Mentoring ML engineers and advising on ML experimentation and trade-offs.

Who You Are

The ideal candidate has 5+ years of experience in building and shipping ML models, strong Python skills, and a passion for advanced ML technologies like DNNs, Transformers, and Foundation Models. A research-oriented background and experience in payments or fraud prevention are advantageous.

Key skills/competency

• Machine Learning
• Foundation Models
• Python
• Deep Learning
• Transformers
• LLM Optimization
• Data Analytics
• Risk Management
• Generative AI
• Mentorship