Data Scientist – LLM Agent

Overview Join to apply for the Data Scientist – LLM Agent role at PayPal . We are seeking a Machine Learning Engineer or Scientist focused on developing scalable machine learning and solution automation toolkits and libraries. This position offers the opportunity to work at the intersection of engineering and data science, helping build advanced agentic platforms that accelerate the development and deployment of intelligent solutions at scale for fraud detection. In this role, you will collaborate with cross-functional teams of engineers and data scientists to create cutting-edge infrastructure and reusable components that will be leveraged across hundreds of ML use cases for fraud detection. You will also have the chance to explore and apply state-of-the-art machine learning techniques from both academia and industry, like LLM, Agentic AI, etc., driving innovation and impact across PayPal’s global data science community.
What You’ll Do Design and prototype data science solutions that enhance model development lifecycle (MDLC), automation, and large-scale ML enablement.
Apply advanced machine learning and statistical techniques to solve high-impact, system-level problems with real-world constraints.
Explore and integrate emerging trends in agentic AI and LLMs into intelligent assistants, toolkits, or reasoning systems that support internal data science use cases.
Develop methodologies for scalable decision-making, tool orchestration, and memory-based reasoning in agentic workflows.
Collaborate with platform engineering and product teams to translate prototypes into reusable components and frameworks.
Stay up to date with academic and industry research and help shape the adoption of cutting-edge ML techniques into PayPal’s ecosystem.
About You 2+ years of industry experience as a Machine Learning Engineer, ML Scientist, or in a similar applied role.
Solid understanding of machine learning concepts, techniques, and frameworks (e.g., PyTorch, TensorFlow, XGBoost, scikit-learn).
Familiarity with agent frameworks or agentic system design (e.g., ReAct, AutoGPT, OpenAgents, HuggingGPT, RAG), including use of tools, memory, and planning components.
Familiar with LLM and agentic system performance evaluation.
Proficient in Python, with experience in building production-quality software using object-oriented programming and software engineering principles.
Curious and passionate about staying up to date with the latest ML research and best practices.
Strong problem-solving and communication skills, with a collaborative mindset.
Experience in multi-team or cross-functional collaboration is a plus.
Master’s, or PhD degree in Computer Science, Engineering, or a related technical field (or equivalent industry experience).
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit safety information at PayPal careers.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits At PayPal, we’re committed to building an equitable and inclusive global economy. We offer benefits to help you thrive in every stage of life, including support for financial, physical, and mental health. We have a flexible work environment, employee stock options, health and life insurance, and more. To learn more about our benefits, please visit PayPal benefits.
Who We Are To learn more about our culture and community, please visit PayPal’s about page.
Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other characteristic protected by law. PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at PayPal global talent acquisition.
Belonging at PayPal means creating a workplace where everyone feels included and valued. We are committed to cultivating inclusivity and belonging across our global teams.

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