Data Science Engineer - Search Department (SED)
Core
Developing state-of-the-art machine learning models and strategies to improve E-commerce conversion through search and recommendation algorithm improvements.
Role type
Senior IC data science engineer (search & recommendation)
Builds
Industry-leading search & recommendation systems, embedding-based retrieval systems, deep ranking systems
Domain
E-commerce, search, NLP, multimodal AI
Deliverable
production ML models | product features
Required skills
machine learning, NLP, computer vision, Python programming, data analytics, data structures, algorithms, software development, deep learning, neural networks, optimization techniques, AB testing, model deployment
Preferred skills
large language models (LLM), transformers, multilingual/multi-task/multi-modal algorithms
Technologies
transformers, large language models (LLM)
Responsibilities
Build industry-leading search & recommendation system to solve business challenges; Develop highly scalable embedding-based retrieval systems and tools; Improve search recall and ranking by leveraging NLP and multimodal large models; Conduct AB Tests to ensure we pick the best winning variant; Ensure successful deployment of features, code, data, and models in production; Build cross-scenario technology backbones; Work with cross-functional engineers, researchers, and statisticians to grow Rakuten in important regional markets
Seniority
Senior, hands-on IC
