Growth Platform ML Engineer: Recommendations & Personalization

Xapply; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Stripe’s Growth Platform is looking for a machine learning engineer to build and operate production ML systems that improve how Stripe recommends products and next steps to businesses. You will own the work from problem definition through training, evaluation, deployment, monitoring, and iteration.

You will collaborate with data scientists, engineers, and product partners to turn model improvements into measurable user and business outcomes, focusing on reliability, latency, and cost while

Qualifications

• 3+ years of industry experience in ML engineering, software engineering, or applied data science.
• Strong programming skills in Python and production-grade code.
• Practical experience designing, training, and evaluating ML models using PyTorch, TensorFlow, XGBoost, or scikit-learn.
• Experience building data or feature pipelines, proficiency in SQL, and familiarity with Spark or PySpark.
• Strong understanding of statistics, model evaluation, and experimentation.
• Experience deploying, monitoring, and debugging production ML systems; balancing quality, latency, and cost.
• Ability to translate business problems into technical approaches and collaborate with cross-functional teams.

Responsibilities

• Design, train, evaluate, deploy, and maintain models for recommendations, ranking, and personalization.
• Improve contextual bandit and policy-learning approaches; refine exploration and reward design.
• Build agent-based recommendations using business context with reliable evaluations.
• Develop data and feature pipelines for training and inference; ensure data freshness and consistency.
• Create reusable tooling for model evaluation, retraining, and safe rollout.
• Own the reliability, latency, and cost of ML components and monitor production systems.
• Design and analyze online experiments; connect offline eval to product impact.

Skills

Python

Production code

ML modeling

SQL

Statistics

Education

Bachelor's degree in CS/related field

Tools

PyTorch

TensorFlow

XGBoost

scikit-learn

Job description

Stripe’s Growth Platform is looking for a machine learning engineer to build and operate production ML systems that improve how Stripe recommends products and next steps to businesses. You will own the work from problem definition through training, evaluation, deployment, monitoring, and iteration.

You will collaborate with data scientists, engineers, and product partners to turn model improvements into measurable user and business outcomes, focusing on reliability, latency, and cost while