Staff Machine Learning Engineer

Requirements

• 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 & Preferred Qualifications :
• 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.
• 8+ years of experience in data science, machine learning engineering, risk modeling, or related fi

Benefits

Additional Information

The Company 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. Job 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.

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