Requirements

MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering
Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems
Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
Experience with using cloud services, big data pipelines and databases

What You'll Be Doing

Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers
Track the fast-paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users
Develop and deploy innovative models in the context of recommender systems
Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences
Have a real impact on how shoppers interact with one of the world's largest e-commerce marketplaces to find what they love every day
Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

Benefits are an essential part of your total compensation for the work you do every day
eBay offers a variety of comprehensive and competitive benefit programs to meet your needs
Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead
eBay loves creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies
eBay is committed to diversity and inclusion, ensuring all employees feel safe, included, and able to bring their unique selves to work
eBay is an equal opportunity employer, offering accommodation for those with special needs