This is an opportunity to:
- 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
Qualifications:
- 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) is a plus
- Experience in AI applied research and industrial recommendation systems is a plus
- Experience with Large Language Models (LLMs) and prompt engineering is a plus