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 eBays 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, 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 and AI techniques.
Responsibilities:
Working with our AI/ML researchers and our Buyer Product group – senior Data Engineer handles.
ETL data pipelines.
Model training.
Model deployment.
Analysis and monitoring.
Need to manage integration points with the following groups:
Researchers.
Product.
Platforms.
Data.
Application backend.
Required experience:
Python – 6+ years.
Apache Spark (pyspark) 6+ years.
SQL.
model deployment.
dockers.
Additional optional experience:
Backend – Java/Scala.
Orchestration AirFlow/Jenkins.
Near Real Time processing – Apache Flink/ Spark Streaming.