Senior Applied Researcher - Search
Core
Develop advanced query understanding products and solve core e-commerce search challenges using cutting-edge ML algorithms.
Role type
Senior Applied Researcher (Search Query Science)
Builds
Query understanding products, real-time inference algorithms, offline data pipelines for ML training, and web services for serving models.
Domain
E-commerce, Search, NLP, Large-scale ML
Deliverable
production ML models | product features
Required skills
Applied research in ML/NLP, software engineering, service-oriented architectures, cloud computing, database management, independent decision making
Preferred skills
Publications in top-tier scientific venues, open-source contributions
Technologies
Python, Java, Scala, C/C++, SpringBoot, Docker, Kubernetes
Responsibilities
Tackle advanced AI challenges in Query Science and NLP, collaborate with researchers and engineers, contribute to solving complex platform problems, shape technical vision for query understanding, build offline data pipelines, design and deploy web services for real-time inference, mentor junior colleagues
Seniority
Senior, hands-on IC with mentorship responsibilities
