The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for rapidly expanding global e-commerce enterprise.
Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry.
Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active users worldwide.
Responsibilities
Elevate search recommendation services and models for E-commerce, driving heightened e-commerce search traffic, while enhancing user search and purchasing cognition.
Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
Requirements
Bachelor or advanced degree in computer science or a related technical discipline.
Excellent coding skills. Solid knowledge of data structure and algorithms.
Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.
Preferred
Good product sense with a focus on user experience.
Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
jobapplier