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 Machine Learning Engineer Senior Machine Learning Engineer at PayPal in San Jose, CA, focusing on developing and deploying scalable ML algorithms for payment fraud detection. Requires a Doctorate or Master's degree with relevant experience in ML frameworks, graph-based ML, and applied research. | Ship | 8 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer at PayPal focused on driving strategic vision and development of ML models and algorithms to solve complex problems, enhance services, build scalable ML pipelines, and deploy models into production to improve customer experiences. The role involves collaboration with data scientists, software engineers, and product teams, with a focus on recommendation systems, search ranking, or personalization at consumer scale. | Ship |
| 8 |
| Sr Data Scientist Senior Data Scientist at PayPal in Chicago, IL, focused on developing and implementing real-time fraud detection and risk assessment solutions for Venmo and PayPal platforms. Responsibilities include data analysis, statistical modeling, A/B testing, root cause analysis, and cross-functional collaboration to mitigate fraud and enhance security. | Ship | 7 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer for Global Fraud Prevention team at PayPal. Focus on building data infrastructure, automation, and ML tooling for risk decisioning. Responsibilities include designing and implementing ML data pipelines, ensuring data quality, developing and deploying production solutions, and mentoring junior members. The role aims to improve fraud detection and prevention through data-driven initiatives. | Ship | 7 |
| Sr Machine Learning Engineer Sr. Machine Learning Engineer at PayPal focused on designing, developing, and implementing ML models and algorithms for various applications, including recommender systems and ranking. The role involves building scalable ML pipelines, deploying models into production, and collaborating with cross-functional teams to enhance services and customer experiences. Requires experience with ML frameworks, cloud platforms, and production ML systems. | ShipServe | 7 |
| Sr Machine Learning Engineer Senior Machine Learning Engineer at PayPal focused on validating, overseeing, and ensuring the risk and compliance of ML/AI models in production across various fintech domains like credit, fraud, and marketing. The role involves model development, data analysis, deployment, and performance monitoring, with a strong emphasis on risk management and regulatory adherence. | Ship | 7 |
| Machine Learning Engineer Machine Learning Engineer at PayPal focused on developing, validating, and deploying ML models for fraud detection, credit underwriting, and marketing analytics. The role involves ensuring data quality, collaborating with cross-functional teams, and adhering to model risk management and responsible AI principles within a regulated fintech environment. | Ship | 7 |