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 eBay's 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