PayPal · 2 weeks ago
Machine Learning Scientist, Agentic AI
San Jose, CA
Full-time
Hybrid
Mid, Senior Level
$112K/yr - $192K/yr
3+ years expPayPal has been revolutionizing commerce globally for more than 25 years. They are seeking a Machine Learning Scientist to lead the development of intelligent, autonomous AI systems to enhance commerce and shopping experiences.
E-Commerce PlatformsFinTechMobile PaymentsTransaction Processing
Responsibilities
Assist in the development and optimization of machine learning models
Preprocess and analyze datasets to ensure data quality
Collaborate with senior engineers and data scientists on model deployment
Conduct experiments and run machine learning tests
Stay updated with the latest advancements in machine learning
Design, develop, and evolve Commerce Agentic System, advancing its reasoning, memory, and action layers to create dynamic, context-aware user experiences
Fine-tune large language models (LLMs) for commerce and shopping applications, ensuring robust alignment, safety, and personalization
Implement and extend agentic frameworks such as A2A (Agent-to-Agent), MCP (Model Context Protocol), LangGraph, or similar to enable complex multi-agent interactions
Perform advanced context and prompt engineering, optimizing multi-turn, multi-source model orchestration for superior performance and responsiveness
Collaborate cross-functionally with product, design, and platform engineering teams to define the next generation of agentic capabilities and AI interface strategies
Experiment with reinforcement learning, retrieval-augmented generation (RAG), and online adaptation to refine agent behavior and enhance response quality
Build scalable, production-ready pipelines for model training, evaluation, and continuous improvement
Communicate insights and technical trade-offs clearly to influence both engineering decisions and PayPal’s broader AI strategy
Qualification
Required
1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
Familiarity with ML frameworks like TensorFlow or scikit-learn
Strong analytical and problem-solving skills
Master's degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline
3+ years of relevant industry experience (or 2+ years with a PhD)
Deep understanding of Transformer architectures and hands-on experience with fine-tuning LLMs for production use cases
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
Demonstrated experience with Agentic frameworks such as A2A, MCP, LangGraph, LangChain or similar, and an understanding of Agent-Oriented Design patterns
Experience building context-aware conversational systems, integrating multi-source data for reasoning and response generation
Knowledge of LLM and agentic evaluation methodologies, including prompt testing, offline metrics, and human feedback loops
Familiarity with MLOps/LLMOps practices — model deployment, monitoring, and continuous retraining at scale
Excellent communication skills with the ability to collaborate across engineering, research, and product teams
Preferred
Design, develop, and evolve Commerce Agentic System, advancing its reasoning, memory, and action layers to create dynamic, context-aware user experiences
Fine-tune large language models (LLMs) for commerce and shopping applications, ensuring robust alignment, safety, and personalization
Implement and extend agentic frameworks such as A2A (Agent-to-Agent), MCP (Model Context Protocol), LangGraph, or similar to enable complex multi-agent interactions
Perform advanced context and prompt engineering, optimizing multi-turn, multi-source model orchestration for superior performance and responsiveness
Collaborate cross-functionally with product, design, and platform engineering teams to define the next generation of agentic capabilities and AI interface strategies
Experiment with reinforcement learning, retrieval-augmented generation (RAG), and online adaptation to refine agent behavior and enhance response quality
Build scalable, production-ready pipelines for model training, evaluation, and continuous improvement
Communicate insights and technical trade-offs clearly to influence both engineering decisions and PayPal's broader AI strategy
Benefits
Flexible work environment
Employee shares options
Health and life insurance
Company
PayPal
PayPal is a financial service company that provides online payment solutions to its users worldwide.
10001+ employees
H1B Sponsorship
PayPal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1144)
2024 (917)
2023 (775)
2022 (921)
2021 (1051)
2020 (1049)
Funding
Current Stage
Public CompanyTotal Funding
$12.17BKey Investors
Kohlberg Kravis RobertsBlueRun Ventures
2025-11-17Post Ipo Debt· $6.95B
2023-06-07Post Ipo Debt· $5B
2015-07-20IPO
Leadership Team
Simon Bladon
PayPal UK CEO
chaloem khompitoon
President & CEO
Recent News
Small Business Trends
2026-01-16
2026-01-16
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Company data provided by crunchbase