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 recommendations and influence look and feel of the homepage
Influence how people will interact with recommender systems in the future, and how recommender systems technology will evolve
Work with unique and large data sets of unstructured multimodal data representing 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 GMB as well as advertising revenue via organic and sponsored recommendations
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 engineering/research team, preferably in a ML/AI technology environment
Experience with using cloud services, big data pipelines and databases
Experience in Natural Language Processing (NLP) and industrial recommender systems
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.
