Machine Learning Engineer, Growth Platform (Fully Remote)

Stripe; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Stripe is seeking an experienced ML engineer to own production ML models end-to-end, from design through deployment and monitoring. You will collaborate with product, data, and engineering teams to ship reliable models that impact real-world Stripe products.

The role focuses on building scalable data pipelines, evaluation tooling, and running online experiments to quickly measure impact and improve performance.

Qualifications

• Experienced ML engineer with Python, SQL, and production ML skills.

Responsibilities

• Own production ML models from design through deployment and monitoring.
• Build data pipelines, evaluation tooling, and online experiments.

Skills

Python

SQL

Production ML

Job description

• Builds ML systems for product recommendations across Stripe.
• Work spans ranking models, contextual bandits, and agent-based recommendations.

What you'll do:

• Own production ML models from design through deployment and monitoring.
• Build data pipelines, evaluation tooling, and online experiments.

Who you are:

• Experienced ML engineer with Python, SQL, and production ML skills.
• You take ownership and collaborate with product, data, and engineering partners.

Stripe

Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.