PayPal Staff Machine Learning Engineer 

Ireland, Dublin 

727876791

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 senior 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.

Essential Responsibilities:

• Design and implement holistic and data-driven solutions to support Paypal’s global financial and fraud risk objectives.
• Partner with product and platform engineering teams to build cutting-edge, scalable, and secure ML-based products that enhance global customer experiences.
• Collaborate closely with data engineering and analytics teams to ensure reliable, high-quality training data and robust monitoring infrastructure.
• Oversee the development and maintenance of production-level data pipelines, machine learning algorithms, and advanced statistical models.
• Utilize large-scale datasets to perform exploratory data analysis and feature engineering to drive strategic business decisions.
• Ensure data integrity, fairness, and explainability in deployed machine learning systems through rigorous testing, validation, and bias detection practices.
• Communicate business insights and progress updates effectively to stakeholders and senior leadership through clear visualizations and narratives.
• Lead, mentor, and grow a team of data scientists and ML engineers, fostering innovation in machine learning techniques such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.

Preferred Qualification:

• 8+ years of work experience in relevant positions (e.g. data scientist, data analyst, statistician, decision scientist, FP&A, product/process manager, risk management, army intelligence units) domains.
• Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Experience with LLMs, prompt engineering, RAG pipelines, or AI agents is a strong plus.
• Deep understanding of root cause analysis, anomaly detection, or incident forensics.
• Proven ability to translate business problems into data science solutions.
• Excellent communication skills and a collaborative mindset.
• Quick-thinker, fast learner, wide general knowledge, problem solver
• Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field. PhD a plus.

Our Benefits:

Any general requests for consideration of your skills, please