180K–270K USD / year
Machine Learning Engineer, Growth Platform
Machine learningHybrid — United States
Published on 2026-09-28
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About this role
Join Stripe's Growth Platform team to develop and maintain machine learning systems that enhance product recommendations for businesses. This role involves taking ownership of the entire lifecycle of ML models, from design to deployment. You'll collaborate with various teams to improve models and ensure they drive measurable outcomes.
About the company
Stripe provides payment infrastructure and financial tools that help businesses accept payments, manage subscriptions, and move money globally. It serves startups through large enterprises with APIs for online and in-person commerce.
The team
Growth Platform team
Stack
PythonPyTorchTensorFlowXGBoostscikit-learnSQLSparkPySpark
What you'll do
- Design, train, evaluate, deploy, and maintain models for recommendations
- Enhance contextual bandit and policy-learning approaches
- Build data pipelines for training and inference
- Develop tooling for model evaluation and retraining
- Monitor models and investigate failures
What we're looking for
- 3+ years of experience in ML engineering or applied data science
- Strong programming skills in Python
- Experience with ML frameworks like PyTorch or TensorFlow
- Familiarity with SQL and distributed data processing tools
- Understanding of model evaluation and statistics
Nice to have
- Experience with recommendation systems or personalization
- Familiarity with contextual bandits or policy learning
- Experience building LLM applications
- Understanding of product growth strategies