Senior Machine Learning Engineer

What role you will play in team: Lead the development and implementation of machine learning models to improve fraud detection and risk management systems at PayPal.

What you will do: Design, develop, and deploy machine learning models using large-scale datasets; Collaborate with cross-functional teams to integrate models into existing systems.

Key responsibility:

• Develop and implement innovative machine learning algorithms to enhance fraud detection capabilities.
• Design and build scalable and robust machine learning pipelines.
• Evaluate model performance and identify areas for improvement.
• Collaborate with engineers and product managers to integrate models into PayPal's systems.
  
• Stay up-to-date on the latest advancements in machine learning and apply them to real-world problems.

Required Qualification and Skills:

• Master's or PhD in Computer Science, Statistics, or a related field.
• 5+ years of experience in machine learning.
• Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Strong understanding of statistical modeling and machine learning techniques.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and growth.
• Collaborative and innovative work environment.
• Impactful work that helps millions of users.
• Flexible work options.

A Day in the Life: A typical day will involve designing, building, and testing machine learning models; collaborating with other engineers and product managers to integrate models into PayPal’s systems; and staying up-to-date on the latest advancements in the field.