Senior Backend Engineer

Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.

We are building cutting edge recommender systems powered by the latest ML, NLP, LLM/GenAI/RAG and AI technologies. Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. Come join our innovative engineering and applied research team!

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 eBays 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 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.