Job Summary:This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:Essential Responsibilities: - Define and drive the strategic vision for machine learning initiatives across multiple teams or projects.
- Lead the development and optimization of state-of-the-art machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
- Mentor and guide junior engineers and data scientists.
- Publish research findings and contribute to industry discussions.
- Lead the development of new methodologies and frameworks for ML applications.
Minimum Qualifications:- 10+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
- Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Proven track record of leading the design, implementation, and deployment of machine learning models.
Additional Responsibilities & Preferred Qualifications:- 10+ years in software/ML engineering, with deep expertise in LLM-based agent systems
- Production experience building agentic platforms - multi-agent orchestration, tool-use frameworks, MCP/ACP protocols
- Strong systems design skills - you've built platforms that handle millions of requests with high reliability
- Experience with payment APIs, authentication flows , or financial transaction systems
- Familiarity with the emerging agent protocol landscape and LLM tool-use patterns at scale
- Published work, patents, or open-source contributions in agentic AI is a plus
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 | ($218,000.00 - $323,950.00 Annually
Subsidiary:PayPal
Travel Percent:0
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
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. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
