Applied Researcher - Query Science
Core
Developing advanced query understanding products and solving core e-commerce search challenges like query rewriting, intent detection, and entity resolution using cutting-edge ML algorithms.
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, Python, Java, C/C++, Artificial Neural Networks, Large Language Models, Service-oriented architectures, Cloud computing (Docker, Kubernetes)
Preferred skills
N/A
Technologies
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)
