PayPal currently has 26 active AI-related job listings. The majority of these roles, 46%, are focused on agents, with serving infrastructure and data roles also representing significant portions. Engineering is the primary function for these hires, with the United States being the dominant hiring country. Frequent tech tags include model_serving, agent_orchestration, and inference_infra. In the last 30 days, PayPal has posted 12 new AI roles, representing a 500% increase compared to the previous 30-day period.
Currently tracking 20 active AI roles, down 49% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$359k (avg $241k).
PayPal currently has 19 active AI-related roles in our index. The most common open titles are: Sr Machine Learning Engineer (6), Director, Director, ML Engineering & Agentic Systems, Director, Product Management, Lead Product Manager – Risk Decisioning Platform, Machine Learning Engineer. Most positions are in Engineering and Product.
PayPal's active AI hiring is concentrated in: agents (37%), application (26%), data (21%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
PayPal is hiring AI talent in: United States (16 roles), Ireland (3 roles).
Job postings at PayPal most frequently reference: model serving, agent orchestration, recommender systems, inference infra, tool use.
In the past 30 days, PayPal has posted 15 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr Machine Learning Engineer Senior Machine Learning Engineer at PayPal focused on building automation, tools, and infrastructure for fraud prevention and risk decisioning. The role involves transforming data, designing and deploying advanced ML models, and leading end-to-end data science initiatives from data mining to operationalization. Collaboration with product, engineering, and analytics stakeholders is key. | Agent | 7 |
| Sr Machine Learning Engineer This role focuses on designing, developing, and implementing machine learning models and algorithms, working with data scientists and product teams to enhance services with AI/ML solutions. Responsibilities include building scalable ML pipelines, ensuring data quality, and deploying models into production to drive business insights and improve customer experiences. | Serve |
| 7 |
| Sr SWE, Fraud Science Data Platform Senior Software Engineer role focused on building and optimizing data pipelines for fraud detection at PayPal. The role involves developing SQL pipelines for a fraud feature store and account linking intelligence systems, working with BigQuery, and managing job scheduling. It emphasizes graph algorithms and data structures for fraud-linking problems, collaborating with data scientists and ML teams. | Data | 5 |
| Product Manager Product Manager for PayPal's enterprise open banking product team, focusing on leveraging open banking for various use cases and advancing the enterprise platform. This role involves partnering with internal teams and engineering to define requirements and understand technical architecture. | — | 0 |
| Manager, Entity Management Manager, Entity Management role at PayPal focused on ensuring regulatory and governance obligations through effective data management and reporting. Involves managing data requests, regulatory reporting, and reporting for governance processes, assessing new and existing regulatory reporting requirements, and working with cross-functional teams to confirm data availability and accuracy. Requires strong data manipulation and organizational skills. | — | 0 |
| Regulatory Reporting Governance Manager Manager responsible for establishing and maintaining a robust governance framework over the end-to-end financial regulatory reporting process, ensuring compliance with ECB requirements and BCBS 239 principles. This role acts as a liaison between various departments to ensure data accuracy, timeliness, and completeness of regulatory submissions, and involves defining and enforcing policies for data quality and lineage. | — | 0 |
| Manager, Internal Controls | — | — |
| Snr Analyst Credit Underwriting | — | — |
| Director, Card Acquiring & Processing Operations – UK & EU | — | — |
| Senior Manager, Network Advisory UK & EU | — | — |
| Manager, Risk Management | — | — |
| Senior Technical Account Manager | — | — |