At e Bay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the Role and the Team:

e Bay is seeking a dedicated, team-oriented, and highly skilled Senior AI Engineer to join our Core AI division. This is an exciting opportunity to work with a highly visible and well-positioned team at one of the most established and heavily trafficked ecommerce companies in the world. You will be part of an agile team driving forward some of e Bay’s most important and impactful AI initiatives.

You will work closely with Software Engineers, Researchers, and Data Engineers across the full AI lifecycle: from early experimentation and prototyping to deploying production-grade AI systems that support millions of users. Your focus will include Generative AI systems and intelligent agents, contributing to both foundational infrastructure and end-user capabilities.

We value curiosity, engineering discipline, and the willingness to challenge convention. Our systems handle billions of requests per day, leverage large-scale GPU clusters, and power key AI-driven experiences across the platform.

What You Will Accomplish:

• Define and implement the strategic roadmap for AI Engineering, aligning technical direction with broader AI and business objectives.

• Architect, design, and optimize scalable AI systems that operate reliably in high-throughput, production environments.

• Lead end-to-end operationalization of AI/ML models, ensuring robust lifecycle management including deployment, monitoring, and iteration.

• Drive automation, CI/CD, and infrastructure-as-code best practices to improve system scalability, resilience, and performance.

• Establish operational excellence frameworks, including monitoring, incident response, root cause analysis, and performance optimization.

• Build and mentor a high-performing, multidisciplinary team while fostering a culture of innovation, accountability, and shared ownership.

What You Will Bring:

• Proven experience leading and contributing hands-on to AI/ML engineering and operations in large-scale production environments.

• Deep understanding of AI model lifecycle management, distributed systems, and integration of applications powered by artificial intelligence into customer-facing platforms.

• Strong software engineering background with experience in Java or JVM-based environments, along with modern AI/ML frameworks and data pipelines.

• Expertise in CI/CD pipelines, infrastructure-as-code (IaC), containerized environments, and cloud-native architectures.

• Experience with monitoring, logging, alerting systems, and operational automation, including building self-healing and highly available systems.

• Demonstrated leadership capability in guiding multidisciplinary teams and collaborating effectively across engineering, research, and product organizations.

Additional Details

e Bay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about e Bay's commitment to ensuring digital accessibility for people with disabilities.

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