Backend Engineer (CoreAI)

• 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 eBay 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).
• Ensure data and model quality through rigorous evaluation, testing, and CI/CD best practices.
• Contribute to architecture decisions, documentation, and engineering standards across CoreAI.
• Mentor peers, participate in code reviews, and help foster a culture of technical excellence.

Do you have experience in Spark?, Do you have a Master's degree?, * 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).
• Familiarity with data platforms and streaming technologies (e.g., Kafka, Flink/Spark, object stores, SQL/NoSQL).
• 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.
• Strong problem-solving skills, ownership mindset, and ability to work cross-functionally in a fast-paced environment.
• Bachelor's/Master's in Computer Science, Engineering, or equivalent practical experience.
• 4+ years of professional experience

Nice to have

• Experience in Spark and Hadoop.
• Experience with retrieval systems, ranking, recommendations, search, trust & safety, NLP, or generative AI.
• Experience with GPU/accelerator orchestration and model optimization (quantization, distillation, Triton/TensorRT).
• Experience with privacy, security, and compliance in AI systems.
• Prior work at large scale (millions of users, petabyte data, high QPS).

• Impact at global scale: Ship AI systems that touch hundreds of millions of users across eBay's marketplace.
• Cutting-edge environment: Work with state-of-the-art tooling, modern ML/LLM stacks, and opportunities to collaborate with leading researchers.
• Competitive compensation: Attractive salary, performance-based bonus, and RSU equity.
• Benefits that support you: pension/retirement plan, and wellness programs.
• Time to recharge: Generous paid time off, company holidays, and flexible working hours.
• Learning and growth: Access to conferences, certifications, internal tech talks, and mentorship programs.
• Career development: Clear growth paths, regular performance feedback, and opportunities to lead projects.
• Modern developer experience: High-quality dev tools, eBays own cloud, GPUs for experimentation.
• Inclusive culture: Diverse, supportive team with ERGs and a focus on psychological safety.
• Regular team events
• Family-friendly: Parental leave and flexible schedules when you need them.

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.