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Stripe

Staff Machine Learning Engineer, Radar

N/A · 5d ago

Not specified10+ YOE

Quick summary

AI parsed
Experience
10+ years building and shipping ML systems in production; proficiency with PyTorch, TensorFlow, XGBoost, Spark; hands-on model design, training, evaluation, and productionization at scale; data pipeline orchestration

Responsibilities

  • Design, build, train, evaluate, deploy, and own ML models in production that detect fraud across Stripe's global payments network
  • Design and build large-scale ML systems that operate on diverse and large scale data
  • Experiment and iterate on ML models to achieve key business goals around data quality and accuracy
  • Integrate ML models into production systems and ensure their scalability and reliability

Full description

<h2><strong>Who we are</strong></h2> <h3><strong>About the team</strong></h3> <p>The <a href="https://stripe.com/radar?utm_source=LinkedIn&utm_medium=paid-social&utm_campaign=emea_sold_enterprise_uk_en_mlp_tof_csuite_awareness&utm_content=radar_ungatedreport_all_image_learnmore_static&utm_placement=mlp">Radar ML</a> team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models that must constant…