Ebay Senior AI Engineer – Core AI 

United States, New York, New York 

144316679

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 Multimodal Generative AI system , working with videos, images, and textual data, and contributing to both infrastructure and end-user capabilities.

• Design, build, and optimize systems that use multimodal data and Generative AI architectures in scalable, reliable, and cost-effective ways.

• Lead development of AI led user experiences, including those using videos, live-streams, images, audio and textual data.

• Help advance eBay’s internal platform for GenAI applications, contributing reusable components, and APIs.

• Monitor and optimize AI systems in production for performance, quality, and responsible AI use.

• Stay current with the latest advances in AI/ML and apply a critical lens when integrating new models or tools into the product stack.

• Drive iteration on design, implementation, and evaluation processes based on experimentation and team feedback.

• 8+ years in software or machine learning engineering roles.

• 4+ years of focused experience developing and deploying AI-centric systems that use visual or multimodal data.

• 2+ years building generative-AI systems, including systems that incorporate VLMs, diffusion models, or other multimodal models.

• Proven success in taking AI-powered products from prototype to production, with an emphasis on maintainability, performance, and user impact.

• Strong programming skills in Java or similar JVM languages, with working proficiency in Python and ML frameworks (e.g., PyTorch, TensorRT).

• Hands-on experience with:

  • Docker & Kubernetes

  • Big Data technologies (e.g., Hadoop, Spark)

  • UI/UX considerations in application development

• Bonus qualifications:

  • Working knowledge of Spring Framework

  • Familiarity with streaming data systems (e.g., Kafka, Flink, Beam, Storm)

  • Familiarity with vector stores (PgVector, FAISS, Pinecone)

  • Experience with C++ and CUDA for performance-critical components

• Strategic thinker with a strong technical foundation and a bias for action.

• Excellent communicator who can bridge the gap between research, engineering, and product.

• Deep curiosity and hands-on experimentation with the evolving VLM/LLM ecosystem.

• Strong commitment to building responsible, ethical, and impactful AI systems.

• A collaborative, self-driven mindset and genuine excitement to push the boundaries of what’s possible with AI at eBay.

The base pay range for this position is expected in the range below: