eBay Machine Learning Job Openings 2026

Qualifications

• MS in Computer Science or related area with 1+ years of relevant work experience (or BS/BA with 3+ years) in Engineering / Machine Learning / AI
• Experience building large scale distributed applications and expertise in an OO/functional language (Scala, Java, etc.)
• Experience building with no sql databases and key value stores (MongoDB, Redis, etc)
• Generalist with a can do attitude and willingness to learn/pick up new skill sets as needed
• Experience with using cloud services is a plus (GCP is a double plus)
• Experience with big data pipelines (Hadoop, Spark, Flink) is a plus
• Experience in AI applied research and industrial recommendation systems is a plus
• Experience with Large Language Models (LLMs) and prompt engineering is a plus.

This is an opportunity to:

Building cutting edge recommender systems powered by the latest ML, NLP, LLM/GenAI/RAG and AI technologies. Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. Come join our innovative engineering and applied research team!

• Influence how people will interact with eBay’s recommender systems in the future, and how recommender systems technology will evolve
• Work with unique and large data sets of unstructured multimodal data representing eBay’s vast and varied inventory, including billions of items and millions of users
• Develop and deploy state-of-the-art AI models to production which have direct measurable impact on eBay buyers
• Deploy big data technology and large scale data pipelines
• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations