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 |
|---|---|---|
| Principal, Agentic AI This Principal, Agentic AI role at PayPal focuses on leading the strategy, development, and execution of AI-driven autonomous shopping experiences. The role involves spearheading initiatives that leverage agentic AI for anticipating, negotiating, and executing commerce transactions on behalf of users. It requires deep expertise in AI, e-commerce, and digital transformation, with strong leadership in cross-functional collaboration. | Agent | 9 |
| 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 |
| 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 |
| 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 |
| Principal Engineer, Agentic AI Principal Engineer, Agentic AI at PayPal, focusing on leading the strategy, development, and execution of AI-driven autonomous shopping experiences. The role involves spearheading initiatives that leverage agentic AI to anticipate, negotiate, and execute commerce transactions on behalf of users, requiring deep expertise in AI, e-commerce, and digital transformation. | Agent | 8 |
| Staff Software Engineer, Agentic AI Staff Software Engineer, Agentic AI at PayPal, focused on leading the strategy, development, and execution of AI-driven autonomous shopping experiences using intelligent digital agents for commerce transactions. Requires deep expertise in AI, e-commerce, and digital transformation, with strong leadership and cross-functional collaboration skills. Responsibilities include defining ML strategy, leading model development and optimization, data preprocessing, deploying ML solutions, integrating models into products, monitoring performance, and mentoring junior engineers. Requires 8+ years of experience, a Bachelor's degree or equivalent, expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, GCP). | Agent | 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 Data Scientist Senior Data Scientist at PayPal in Chicago, IL, focused on large-scale fraud prevention and risk management. The role involves managing the full lifecycle of data science solutions, from research to production, with a focus on bot mitigation, device intelligence, and evaluating cyber-security technologies. Responsibilities include overseeing platform performance, translating actions into business impact, mentoring team members, and managing a global team of data scientists. | Agent | 7 |
| Sr Data Scientist Senior Data Scientist at PayPal in Chicago, IL, focused on developing and implementing credit risk strategies for PayPal and Venmo credit card programs. The role involves using mathematical, statistical, and data mining methods, including machine learning for model development and deployment, to balance risk and reward, user experience, and financial performance. Responsibilities include automating tracking, testing new data sources, providing insights through monitoring and reporting, and performing operational monitoring. Requires expertise in credit risk management, predictive analytics, experimental design, machine learning, P&L analytics, credit bureau analytics, Python (pandas, numpy, sklearn), SQL (Big Query, Teradata), data visualization tools (Tableau, Amplitude), and database management (Hadoop, Hive, Stampy, Teradata, Big Query). | Post-train | 7 |
| 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 |
| Senior Data Scientist Senior Data Scientist at PayPal in Chicago, IL, focused on developing and implementing advanced data science models for identity, onboarding, authentication, abuse, and scam detection within the financial technology domain. The role involves leveraging Python, SQL, and BigQuery for risk decisioning, collaborating with cross-functional teams, and applying statistics, machine learning, and AI to fraud detection. Key responsibilities include maintaining loss targets, optimizing risk experience, ensuring data quality, and exploring advanced technologies like AI, ML, and LLMs to evolve risk strategies. The position requires a Master's degree or equivalent with 2 years of experience in applying ML algorithms for fraud detection, developing regression-based default models, conducting large-scale data analysis with SQL/Python/Spark, building data pipelines, deploying models to production, and analyzing transactional data for fraud indicators. | Agent | 7 |
| Machine Learning Engineer Machine Learning Engineer at PayPal in Austin, TX, focusing on NLP and Generative AI. Responsibilities include gathering, analyzing, and implementing statistical models and AI applications, conducting model validation, and collaborating with various teams. Requires experience with Python, SQL, machine learning model deployment, and Generative AI architectures like LLMs for tasks such as transcription and summarization. | Agent | 7 |
| Manager, Venmo BNPL Credit Risk Strategy Manager for Venmo BNPL Credit Risk Strategy, responsible for developing and implementing credit risk strategies, including approve/decline, exposure limits, and APR decisions. This role involves working with the Lending Machine Learning team to leverage or develop credit risk models, collaborating with engineering and product partners, and ensuring adherence to regulatory requirements. | Post-train | 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 Data Scientist Senior Data Scientist at PayPal in Chicago, IL, focused on applying advanced statistical techniques and machine learning models to predict risk and revenue for consumer lending products. The role involves data mining, building valuation frameworks, optimizing credit portfolio performance, and establishing KPI tracking for credit card program health. Requires experience in forecasting, model development/deployment, predictive analytics, experimental design, P&L analytics, and credit risk management using Python and SQL. | Post-train | 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 |
| Staff ML Scientist, Agentic AI Staff ML Scientist focused on leading the strategy, development, and execution of AI-driven autonomous shopping experiences using agentic AI. The role involves developing and optimizing ML models, preprocessing data, deploying solutions, and collaborating with cross-functional teams. | Agent | 7 |
| Principal Software Engineer, SMB &FS Principal Software Engineer at PayPal focused on architecting AI-native commerce capabilities, including agentic commerce and intelligent payment orchestration, for SMB and Financial Services platforms. The role involves leading the technical vision, cloud-native migration, and setting platform standards for large-scale distributed systems in a regulated fintech environment. | Agent | 7 |
| Sr Machine Learning Engineer Senior Machine Learning Engineer to design, train, and deploy AI agents for regulatory analytics, data governance, and audit automation in a fintech context. The role involves building intelligent agents to interpret regulatory requirements, validate risk data, and support reporting processes. | Agent | 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 |
| Manager, AI Audit Innovation Manager role focused on designing, developing, and deploying AI-powered solutions and automation frameworks for the Global Internal Audit team. This involves translating audit objectives into technical solutions, managing AI initiatives end-to-end, ensuring secure and responsible integration with enterprise governance and regulatory standards, and evaluating emerging AI/ML/LLM technologies. The role requires hands-on AI engineering experience, building AI agents and automation frameworks, and integrating AI tools with enterprise systems. | Agent | 7 |
| Sr Staff Machine Learning Engineer Senior Staff Machine Learning Engineer at PayPal responsible for the strategic direction and execution of machine learning projects, including building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. | Serve | 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 |
| Senior Software Engineer, Agentic AI Senior Software Engineer, Agentic AI at PayPal, focused on leading the development and execution of AI-driven autonomous shopping experiences using intelligent digital agents that anticipate, negotiate, and execute commerce transactions. Requires expertise in AI, e-commerce, and ML model deployment. | Agent | 7 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer at PayPal focused on designing, developing, and implementing advanced ML models and algorithms. The role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Requires expertise in ML frameworks and cloud platforms. | Serve | 7 |