Applied Researcher-2
Core
Building cutting-edge recommender systems for personalized discovery of eBay's inventory through dynamic feeds for buyers and first-time visitors.
Role type
Senior Applied Researcher (Recommendation Systems & GenAI)
Builds
Deep learning-based retrieval systems, machine learned ranking models, GenAI/LLM powered recommendations, and MLOps pipelines for eBay's marketplace.
Domain
E-commerce, Personalization, Large-scale AI/ML
Deliverable
production ML models
Required skills
Machine Learning, NLP, LLMs, GenAI, Python, PyTorch, Personalization, Deep Learning, Graph Neural Networks, Few-shot Learning, Multimodal Data Processing, Model Deployment
Preferred skills
Java, Scala, Big Data Pipelines (Hadoop, Spark), Prompt Engineering, Video Recommendations, Live Commerce
Technologies
PyTorch, Python, Hadoop, Spark, LLMs, GenAI, RAG
Responsibilities
Develop and deploy innovative AI models to production using large-scale unstructured multimodal data; Drive marketplace GMB and advertising revenue via organic and sponsored recommendations; Publish research work in Tier 1 conferences and write IP/tech blogs.
Seniority
Senior, hands-on IC
