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 |
|---|---|---|
| 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 |
| 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 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 — Agentic Systems Senior Machine Learning Engineer to build and scale agentic AI systems for risk management in fintech. The role involves end-to-end delivery of production-grade agents and ML models, focusing on improving decision quality, operational efficiency, and system reliability. Requires strong depth in agentic systems and classical AI/ML, with leadership capabilities. | AgentData | 8 |
| 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 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 |
| 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 |
| 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 |
| 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 |