Applied Researcher - Query Science
Core
Develop advanced query understanding products and solve core e-commerce search challenges (query rewriting, annotation, classification, recovery) using cutting-edge ML algorithms to interpret large-scale user behavior.
Role type
Applied Researcher (Query Science & NLP)
Builds
Query understanding products, offline data pipelines for ML training, and web services for real-time inference
Domain
E-commerce, Search, Machine Learning, NLP
Deliverable
production ML models | product features
Required skills
Machine Learning fundamentals, Statistics, Large Language Models, Artificial Neural Networks, Python, Java, C/C++, Cloud computing (Docker, Kubernetes), Service-oriented architectures (SpringBoot)
Preferred skills
N/A
Technologies
Python, Java, C/C++, SpringBoot, Docker, Kubernetes
Responsibilities
Tackle advanced AI challenges in Query Science and NLP; Collaborate with researchers and engineers on cutting-edge technologies; Contribute to solving complex problems that impact eBay's platform; Help shape the technical vision for query understanding; Build offline data pipelines for ML model training and validation; Design and deploy web services for serving real-time inference algorithms
Seniority
Mid-Senior (PhD or 2+ years industry experience)
