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
What you will bring:
MS in Computer Science or related area with 6 years of relevant work experience (or BS/BA with 8 years) in Engineering / Machine Learning / AI
Experience building large scale distributed applications and expertise in any OO 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), AI applied research, industrial recommendation systems, Large Language Models (LLMs) and prompt engineering is a plus
Links to some of our previous work:
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