Sr Machine Learning Engineer

Sr Machine Learning Engineer role at PayPal. We're looking for a highly motivated AI Tooling Engineer to design and build AI-powered, scalable analysis tools that empower analysts to work faster, dig deeper, and make better decisions. You'll bridge the gap between data science, product engineering, and business analysis by developing AI-driven solutions that streamline data exploration, automate insights, and simplify access to complex datasets. AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

What You'll Do

• Design and develop internal-facing AI tools that help analysts explore data, generate SQL, detect anomalies, and summarize trends.
• Develop and maintain backend services and APIs to support AI and data workflows.
• Query and profile data across multiple sources (BigQuery, logs, etc.) and ensure reliable, fast access for tools.
• Collaborate closely with analysts and stakeholders to deeply understand their workflows and build what matters most.
• Integrate LLMs (e.g., OpenAI, open-source models) for natural language interfaces, auto-insights, or content summarization.
• Build intuitive UIs or work with frontend engineers to create React-based apps.
• Ensure security and compliance with internal access controls, logging, and audit standards.
• Prototype, test, and iterate quickly based on feedback and evolving needs.

• Bachelor's or Master's in Computer Science, Statistics, Engineering, or related field; 3+ years of experience in machine learning.
• Strong programming skills in Python, with experience using data and ML libraries (pandas, scikit-learn, etc.).
• Proficiency in SQL and data querying from cloud data warehouses. Ensure data quality and integrity in all processes.
• Experience with building backend APIs (FastAPI, Flask) and deploying services.
• Familiarity with LLMs and NLP concepts, and basic prompt engineering.
• Ability to build usable UIs with Streamlit, Dash, or collaborate with frontend teams.
• Strong product sense and empathy for analysts' workflows and challenges, and ability to collaborate with stakeholders to understand requirements.

• Experience in risk or fraud domains is a plus.
• Experience with LLM applications like Retrieval-Augmented Generation (RAG) or semantic SQL generation.
• Cloud experience (GCP) and containerization (Docker).
• Background in MLOps, data quality monitoring, or internal tooling platforms.
• Experience with tools like Looker, Tableau from a data backend perspective.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit

For the majority of employees, PayPal\'s balanced hybrid work model offers 3 days in the office and 2 days at your choice of PayPal office or home workspace.

Our Benefits: We offer a flexible work environment, employee stock options, health and life insurance, and more. To learn more about our benefits please visit

Who We Are: To learn more about our culture and community visit

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, or any other characteristic protected by law. Reasonable accommodations are provided for qualified individuals with disabilities. For accessibility support, contact

Belonging at PayPal: We strive to create a workplace where everyone feels included and valued.

REQ ID R0128055

Location: Dublin, Ireland (and related postings)