Staff Machine Learning Engineer

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.  We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.  Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: PayPal, Inc. seeks Staff Machine Learning Engineer in San Jose, CA Job Duties: Design and deploy scalable Risk analytical solutions and generative AI solutions and productize Machine Learning models that enhance PayPal's ability to provide a seamless customer experience. Lead and collaborate with data scientists and system engineers to solve complex problems with machine learning and AI capabilities. Define technical standards and ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform. Lead architecture design and technical decision-making across cross-functional groups and deliver results in matrix organizations. Develop different AI agents to automate workflow, detect live issues and provide fix suggestions. Mentor senior and junior team members, provide technical guidance and strategic direction, and foster a culture of collaboration, innovation, and continuous learning. Partial telecommuting permitted from a commutable distance. Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering or a closely related field plus eight years of progressively responsible experience in the job offered or a related occupation. Special Skill Requirements: (1)            Experience designing and deploying scalable machine learning models and pipelines in production environments using Python and Java (4 years) (2)            Experience developing and productizing Generative AI solutions, including LLMs, RAG pipelines, or AI agents (e.g., LangChain, LlamaIndex, or similar frameworks) (2 years) (3)            Experience with big data technologies and distributed computing frameworks such as Spark, Hadoop, or Flink for large-scale data processing (3 years) (4)            Experience designing and developing large-scale software applications using Object-Oriented Design in Java or Python (4 years) (5)            Experience with cloud platforms (AWS, GCP, or Azure) for deploying and managing ML/AI workloads, including containerization with Docker and Kubernetes (2 years) (6)            Experience building and maintaining data pipelines and ML feature engineering systems using tools such as Airflow, MLflow, or similar MLOps platforms (2 years) (7)            Experience in risk analytics or fraud detection domains, including model development for anomaly detection, payment risk, or transaction monitoring (2 years) (8)            Experience developing AI agents or workflow automation systems using agentic frameworks for issue detection, root cause analysis, or automated remediation (1 year) (9)            Experience with software engineering best practices including code reviews, unit/integration testing, CI/CD pipelines, and version control (e.g., Git) (4 years) (10)         Experience leading cross-functional teams of data scientists, product managers, and system engineers to deliver end-to-end ML/AI solutions in a matrix organization (3 years) Additional Responsibilities & Preferred Qualifications : EOE, including disability/vets. The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:  Primary Location | Pay Range:  San Jose, California | Salary: $227,639.00-300,500.00 per annum. 40 hours per wee