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About the role
This is an opportunity to: Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering Drive personalization strategy for eBay recommendations and influence look and feel of the eBay homepage Influence how customers will interact with shipping AI systems in the future and drive AI technology evolution and adoption Work with unique and large data sets of unstructured multimodal data representing eBays vast and varied inventory, and millions of users Develop and deploy state of the art AI models Deploy big data technology and large scale data pipelines Drive marketplace revenue, margin and customer delight by driving lower shipping costs, faster delivery speed and accurate product classifications for international shipments Qualifications MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI Experience leading a nimble applied science team, preferably in a ML/AI technology environment Experience with using cloud services, big data pipelines and databases Experience in Machine Learning, Deep Learning, Natural Language Processing (NLP) and Large Language Models Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high-volume traffic webapp development in an industrial setting Previous publications experience with academic papers, patents/IP, or technical blogs is a plus
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