Staff Machine Learning Engineer

Minimum Qualifications

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Additional Responsibilities:

• Design and implement end-to-end, data-driven solutions that advance PayPal’s global fraud and financial risk objectives.
• Partner with product and platform engineering teams to develop scalable, secure, and innovative ML-powered products that enhance customer experiences.
• Collaborate closely with data engineering and analytics teams to ensure robust training datasets, high data quality, and reliable monitoring infrastructure.
• Oversee the development and maintenance of production-grade data pipelines, machine learning algorithms, and advanced statistical models.
• Leverage large-scale datasets to perform exploratory analysis, build high-impact features, and generate insights that inform strategic business decisions.
• Ensure fairness, explainability, and model integrity through rigorous validation, testing, and bias detection practices.
• Communicate progress, analytical insights, and recommendations clearly to stakeholders and senior leadership.
• Lead, mentor, and develop a high-performing team of ML engineers and data scientists, fostering innovation across techniques such as supervised, unsupervised, reinforcement, and deep learning.

Preferred Qualifications:

• 8+ years of experience in data science, machine learning engineering, risk modeling, or related fields.
• Advanced proficiency in Python, SQL, and modern ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Experience with LLMs, prompt engineering, RAG systems, or AI agent frameworks is a strong plus.
• Deep expertise in anomaly detection, incident forensics, or root-cause analysis.
• Proven ability to translate complex business challenges into effective machine learning solutions.
• Exceptional communication skills and a collaborative mindset.
• Strong problem-solving ability; fast learner with broad technical and business knowledge.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related field; PhD preferred.

Travel Percent

Our Benefits

• At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are

Commitment to Diversity and Inclusion

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