Job Description Summary
We're part of Global Fraud Prevention team, dedicated to building foundational data infrastructure, automation, and ML tooling that enhance risk decisioning at scale. We're seeking a staff machine learning engineer with strong interest in payment industry to lead data-driven initiatives that improve fraud detection and prevention. In this role you will design and implement scalable machine learning data pipelines, ensure high data quality and integrity, develop and deploy production grade solutions, and provide mentorship to junior team members. Your work will directly contribute to smarter, faster, and more reliable risk decisions across our global platform.
Job Description
Essential Responsibilities
Lead the development and optimization of advanced machine learning models.
Oversee the preprocessing and analysis of large datasets.
Deploy and maintain ML solutions in production environments.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models, making necessary adjustments.
Expected 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.
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 benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
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