This role involves defining and leading the strategic vision for machine learning initiatives at PayPal. The engineer will be responsible for the development and optimization of advanced machine learning models, overseeing data preprocessing and analysis, and deploying solutions in production. Collaboration with cross-functional teams is crucial for integrating models into products and services. The role requires monitoring, evaluation, and adjustment of model performance, alongside mentoring junior engineers and data scientists. Publishing research and representing PayPal at industry events are also expected.

Key Responsibilities:

• Drive strategic vision for machine learning.
• Develop and optimize ML models.
• Oversee data preprocessing and analysis.
• Deploy and maintain ML solutions.
• Collaborate with cross-functional teams.
• Monitor and evaluate model performance.
• Mentor junior engineers.
• Publish research.
• Represent company at conferences.
• Influence AI/ML strategy and long-term planning.

Requirements:

• Minimum 18 years of relevant experience.
• Bachelor's degree or equivalent.
• Deep expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Extensive experience with cloud platforms (AWS, Azure, GCP).
• Industry expert with a strong publication record.