Growth Platform ML Engineer — Remote & Impactful Recommendations

Stripe; Seattle (WA); Hybrid; USD 180,000 - 270,000; Full time

Benefits offered by this job

Equity

Bonus

401(k)

Medical benefits

Dental benefits

Vision benefits

Wellness stipend

Job summary

Stripe is seeking a machine learning engineer to design, train, and deploy production ML systems that power product recommendations and personalized actions for Growth Platform.

You will own end-to-end model development—from problem framing to training, evaluation, deployment, and monitoring—collaborating with data scientists, software engineers, and product partners to measure impact and improve user experience.

Qualifications

• 3+ years of ML engineering or data science in production.

Responsibilities

• Design, train, evaluate, deploy, and maintain models for recommendation and personalization.

Skills

Python

PyTorch

TensorFlow

XGBoost

scikit-learn

SQL

Spark

Experimentation

Production code

Tools

PyTorch

TensorFlow

XGBoost

scikit-learn

Spark

PySpark

Job description

Stripe is seeking a machine learning engineer to design, train, and deploy production ML systems that power product recommendations and personalized actions for Growth Platform.

You will own end-to-end model development—from problem framing to training, evaluation, deployment, and monitoring—collaborating with data scientists, software engineers, and product partners to measure impact and improve user experience.