Backend Engineer, CoreAI

About e Bay

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.

About the Role

CoreAI at e Bay builds and operates large-scale AI systems that power experiences for hundreds of millions of users globally. We develop end-to-end AI platforms and services—from data pipelines and model training to real-time inference and evaluation—enabling product teams across e Bay to deliver smarter, faster, and safer experiences. You will be at the cutting edge of the AI revolution, working with state-of-the-art technologies and shipping production systems at massive scale.

The position is a hybrid role requiring 3 days per week in the office.

What You Will Accomplish

• Design, build, and operate backend services for AI/ML systems, including data ingestion, feature stores, model training pipelines, and low-latency inference services
• Own production-grade APIs and microservices that integrate AI capabilities into e Bay products and marketplaces
• Implement scalable, cost-efficient, and reliable distributed systems (e.g., streaming, batch processing, autoscaling, service orchestration)
• Collaborate with ML researchers and product engineers to translate models into robust, secure, and maintainable production services
• Optimize performance for high throughput and low latency; monitor, observe, and continuously improve system reliability (SLOs, alerting, on-call)
• Contribute to architecture decisions, documentation, and engineering standards across CoreAI

What You Will Bring

• Strong backend engineering experience building distributed systems and APIs in production
• Proficiency in Java, Python, and Kotlin programming languages
• Experience with cloud infrastructure and container orchestration (e.g., AWS/GCP/Azure, Kubernetes)
• Experience deploying and operating ML services (batch and real-time), model serving frameworks, and feature stores is a plus
• Solid understanding of system design, networking, performance optimization, and observability (metrics, logs, traces)
• Knowledge of ML fundamentals and MLOps practices (versioning, CI/CD for models, A/B testing, evaluation) is a plus; curiosity and willingness to learn are essential

Equal Opportunity

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.