Senior AI Engineer - Remote Opportunity at eBay

About the Role

At eBay, 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. We're hiring a Senior AI Engineer to join our Core AI division and work remotely.

What You Will Do

• 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.

Requirements

• 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.

Nice to Have

• Experience with Generative AI systems and intelligent agents.
• Familiarity with large-scale GPU clusters and AI-driven experiences.
• Knowledge of operational excellence frameworks.

What We Offer

• Competitive salary and benefits package.
• Remote work flexibility.
• Opportunities for professional growth and development.
• A diverse and inclusive work environment.
• Access to cutting-edge technologies and tools.