Sr Machine Learning Engineer

PayPal PayPal · Fintech · Dublin, County Dublin, Ireland · Machine Learning Engineering

Senior Machine Learning Engineer at PayPal focused on building automation, tools, and infrastructure for fraud prevention and risk decisioning. The role involves transforming data, designing and deploying advanced ML models, and leading end-to-end data science initiatives from data mining to operationalization. Collaboration with product, engineering, and analytics stakeholders is key.

What you'd actually do

  1. Lead the design, development, and deployment of advanced data science models that improve fraud detection and risk decisioning.
  2. Develop and optimize machine learning models for various applications.
  3. Deploy ML solutions into production environments using appropriate tools and frameworks.
  4. Preprocess and analyze large datasets to extract meaningful insights.
  5. Collaborate with cross-functional teams to integrate ML models into products and services.

Skills

Required

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment
  • Several years of experience in designing, implementing, and deploying machine learning models
  • Strong SQL expertise
  • Proficiency in Python or R

Nice to have

  • Master’s degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related field
  • Minimum of 5 years of experience in machine learning, data science, engineering, or a related domain
  • Experience in operational ETL workflows and data warehouse/mart development is a significant plus
  • Experience working with Teradata, Hadoop, or Google Cloud technologies
  • Solid foundation in statistical modeling, data modeling, and quantitative analysis; 2+ years of hands-on experience in data science or optimization preferred
  • Proficiency in business intelligence tools (e.g., Tableau)
  • Experience in product design or product management is highly desirable
  • Demonstrated ability to draw clear, relevant conclusions from complex analyses and communicate insights to influence business strategy
  • Strong interpersonal skills with the ability to work effectively in collaborative, cross-functional environments
  • Resourceful, fast learner

What the JD emphasized

  • fraud detection
  • risk decisioning
  • machine learning models
  • deploy ML solutions into production

Other signals

  • fraud prevention
  • risk decisioning
  • machine learning models
  • deploy ML solutions into production