PayPal Staff Software Engineer 

United States, California, San Jose 

380115981

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 about 3 days a week in our San Jose, CA Headquarters.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

$96900 to $234300

Our Benefits:

Any general requests for consideration of your skills, please