Staff Software 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 Description Summary:

Join and build the next generation of AI Personalization platform in Consumer ML team. take our AI Stack to the next level and create the future of the Search stack on the PayPal App! As a Staff Software Engineer in Consumer ML Ops team, you will be responsible for designing, developing, and maintaining our recommendation infrastructure on PayPal Stacks and deploying solutions that impact hundreds of millions of consumers' personalized experiences.

Job Description:

Get involved in Google Vertex AI solutions Stack to bring cutting-edge cloud solutions into existing stacks, such as AutoML, custom training, BQML, real-time inferencing, features stores, GenAI, etc. You will be working closely with our data science team to ensure that our models are deployed, monitored, and scaled efficiently.

Key Responsibilities:

• Design, develop, and maintain our machine learning infrastructure, recommendation engine, pipelines on PayPal in-house stacks and GCP stacks
• Build and maintain automated workflows for data preparation, model training, and deployment
• Support omni-channel consumer personalization experience across all PayPal brands
• Build full stack POC and production solution for LLM Agentic solutions with MCP, RAG, etc.
• Work closely with our data science team to ensure that models are deployed, monitored, and scaled efficiently
• Collaborate with the Infra/Data Platform team to ensure that the machine learning infrastructure is integrated with the overall system architecture
• Implement best practices for version control, testing, and deployment of machine learning models
• Monitor the performance of deployed models and implement solutions for optimization
• Stay up-to-date with the latest recommendation solutions and incorporate them into our infrastructure

Requirements:

• Master’s or PhD degree in Computer Science, Mathematics, or related field
• 4+ years of experience in Software and Machine Learning Engineer related roles.
• Strong programming skills in Java, Python, Javascript
• Good knowledge and experience with Cloud provider such as GCP, AWS, Azure to build enterprise level solutions
• Experience with containerization technologies such as Docker and Kubernetes. Familiarity with DevOps best practices and tools such as Git, Jenkins
• Excellent communication skills and ability to work in a team environment
• Quick learner, strong problem-solving skills and attention to detail

This position is hybrid and requires in-office presence ab