# Machine Learning Engineer, Growth Platform at Stripe

- Company: Stripe
- What the company does: Stripe is a financial services platform that helps all types of businesses accept payments, build flexible billing models, and manage money movement. Backed by General Catalyst, Khosla and Kleiner Perkins.
- Company website: https://stripe.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://stripe.com/jobs/search?gh_jid=8224915
- Page: https://www.1752.vc/careers/jobs/stripe-machine-learning-engineer-growth-platform/

## About the role

You will build and operate production ML systems that improve how Stripe recommends products, content, and next steps to businesses. You will own work from problem definition and feature development through training, evaluation, deployment, monitoring, and iteration. Working with data scientists, engineers, and product partners, you will turn model improvements into measurable user and business outcomes.

## What they're looking for

- 3+ years of industry experience in machine learning engineering, software engineering, or applied data science, with hands-on experience building and shipping ML models in production
- Strong programming skills in Python and experience writing maintainable, tested production code
- Practical experience designing, training, and evaluating ML models using frameworks such as PyTorch, TensorFlow, XGBoost, or scikit-learn
- Experience building data or feature pipelines, proficiency in SQL, and familiarity with distributed data processing tools such as Spark or PySpark
- A strong understanding of statistics, model evaluation, and experimentation, including the ability to recognize data leakage and distinguish offline model improvements from business impact
- Experience deploying, monitoring, and debugging production ML systems, and evaluating tradeoffs among model quality, reliability, latency, and cost

Tags: Data Science