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 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.
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 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 |
| Sr Data Scientist - CRM and Media Analytics Sr. Data Scientist role focused on CRM and Media Marketing Analytics at PayPal. The role involves leading analytical strategy and execution across customer relationship management, paid media, and marketing effectiveness, uncovering insights into acquisition, engagement, and retention. It requires developing and implementing advanced data science models, collaborating with stakeholders, driving best practices, and mentoring junior scientists. Experience with statistical modeling, machine learning, and experimentation applied to marketing and media problems is essential. |
| Data |
| 5 |
| Sr Data Scientist - CRM and Media analytics Sr. Data Scientist role focused on CRM and Media Marketing Analytics at PayPal, leading analytical strategy and execution across customer relationship management, paid media, and marketing effectiveness. The role involves developing and implementing advanced data science models, uncovering insights into customer acquisition, engagement, and retention, and translating complex data into actionable recommendations. It requires strong analytical expertise, technical rigor in data science, and compelling storytelling to influence stakeholders. | Data | 5 |
| Sr Data Scientist This role focuses on developing and implementing advanced data science models for risk and chargeback performance within PayPal's World product. It involves collaborating with stakeholders, driving best practices, ensuring data quality, and mentoring junior scientists. Experience in financial industry risk management and data science infrastructure for financial processes is preferred. | Data | 5 |