PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Summary
Join the Global Fraud Prevention team to build the data infrastructure, automation, and machine learning capabilities that power risk decisioning at global scale. As a Staff Machine Learning Engineer, you will design and deliver data-driven initiatives, production ML pipelines, and data products that improve fraud detection and prevention. You will apply advanced analytics, statistical modeling, and machine learning to transform complex data into actionable insights, while ensuring data quality, governance, and operational excellence. Partnering with Product, Engineering, Risk, and Analytics teams, you will deploy data-driven solutions that reduce fraud losses and enhance customer experience. You will also mentor engineers and drive adoption of modern AI-assisted development tools. The ideal candidate has extensive experience with large-scale data platforms, Python, SQL, cloud technologies, and machine learning for risk or fraud solutions.
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- Lead the design and implementation of scalable big data architectures, data products, and large-scale data processing solutions that support fraud prevention, risk management, and machine learning initiatives.
- Design and support large-scale data platforms, distributed systems, and production-grade data pipelines.
- Demonstrate strong expertise with cloud platforms and modern data ecosystems, including GCP, AWS, or Azure.
- Apply deep knowledge of data integration (DI), ETL/ELT frameworks, data governance, data quality, metadata management, lineage, observability, and monitoring.
- Use advanced analytics, statistical modeling, and data science techniques to develop, optimize, and deploy risk strategies that reduce fraud losses while maintaining a best-in-class customer experience.
- Design, build, and manage robust data pipelines and data products that transform complex, multi-source datasets into actionable business insights.
- Oversee data ingestion, preprocessing, transformation, feature engineering, and analysis of large-scale structured and unstructured datasets.
- Deploy, monitor, and maintain analytical and ML solutions in production environments, ensuring reliability, scalability, and operational excellence.
- Partner with Product, Engineering, Risk, and Analytics teams to integrate data-driven solutions, machine learning models, and risk strategies into products and business processes.
- Establish and monitor data quality and risk strategy effectiveness, driving continuous improvement through experimentation and performance optimization.
- Mentor and develop junior team members, fostering a culture of technical excellence, innovation, and continuous learning.
Preferred Qualifications
- 6+ years of experience in Data Engineering, Data Science, Machine Learning Engineering, Fraud Analytics, Risk Modeling, or related disciplines.
- Experience designing and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and intelligent automation workflows
- Familiarity with Agentic AI frameworks and orchestration platforms such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar technologies.
- Strong experience designing and supporting large-scale data platforms, distributed systems, and production-grade data pipelines.
Subsidiary:
PayPal
Travel Percent:
0
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
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.
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