Staff Machine Learning Engineer

PayPal PayPal · Fintech · San Jose, CA +1 · Machine Learning Engineering

Staff Machine Learning Engineer at PayPal focused on designing, developing, and implementing advanced ML models and algorithms. The role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Requires expertise in ML frameworks and cloud platforms.

What you'd actually do

  1. Lead the development and optimization of advanced machine learning models.
  2. Oversee the preprocessing and analysis of large datasets.
  3. Deploy and maintain ML solutions in production environments.
  4. Collaborate with cross-functional teams to integrate ML models into products and services.
  5. Monitor and evaluate the performance of deployed models, making necessary adjustments.

Skills

Required

  • TensorFlow
  • PyTorch
  • scikit-learn
  • AWS
  • Azure
  • GCP

What the JD emphasized

  • advanced machine learning models
  • scalable ML pipelines
  • deploying models into production environments

Other signals

  • deploying models into production environments
  • building scalable ML pipelines
  • advanced machine learning models