PayPal
- Founded
- 1998
- Website
- paypal.com
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 |
|---|---|---|
| Staff Machine Learning Engineer Staff Machine Learning Engineer at PayPal in Bengaluru, India, focused on developing and deploying advanced ML models, particularly in Generative AI and Agentic AI, with a strong emphasis on production readiness, fine-tuning, and evaluation within the fintech domain. | AgentPost-train | 8 |
| Director, Director, ML Engineering & Agentic Systems Director of ML Engineering & Agentic Systems at PayPal, focusing on leading teams to deliver LLM-based agentic systems and consumer-facing ML products at scale within the fintech domain. The role involves driving product and technical strategy, defining engineering health objectives, and building ML platform infrastructure. | AgentServe | 8 |
| Sr Machine Learning Engineer This role focuses on designing, developing, and implementing machine learning models and algorithms, with a strong emphasis on LLM agents and multi-agent systems. The engineer will build scalable ML pipelines, deploy models into production, and integrate them into products and services, requiring experience with agentic frameworks, LLM APIs, and evaluation methodologies. | AgentServe | 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 Machine Learning Engineer This role focuses on evaluating and validating high-impact statistical and AI/ML models, ensuring their integrity, soundness, and robustness in alignment with internal Model Risk Management (MRM) Policy and industry standards. The engineer will provide risk oversight on the deployment of sophisticated machine learning models, build scalable systems, architect end-to-end pipelines for data ingestion, model serving, and monitoring, and integrate deep learning and generative AI methods. The role also emphasizes regulatory compliance and ethical AI use within a fintech domain. | Eval GateServe | 7 |
| 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 |
| Lead Product Manager – Risk Decisioning Platform Lead Product Manager for PayPal's Risk Decisioning Platform, focusing on fraud, credit, and compliance. The role involves defining strategy, roadmap, and execution for a platform processing massive signal volumes in milliseconds. Key responsibilities include collaborating with engineering and data science to build scalable solutions, enabling real-time experimentation and rule governance, and driving legacy migration. Experience with scaled platforms like recommendation engines, real-time inference systems, or ML/AI infrastructure is required, with a focus on decisioning, recommendation engines, or real-time scoring. | ServeAgent | 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 |
| Principal Engineer, Agentic Systems Principal Engineer role focused on building agentic systems, likely involving LLM-based agents, multi-agent orchestration, and tool-use frameworks within the fintech domain. The role emphasizes setting technology roadmaps, influencing senior executives, and mentoring engineers. | Agent | 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 |
| 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 |