Overview
Optimize the recommendation quality and user profile on Company's website, providing users the best shopping experience.
Combine your understanding of product objectives and leverage modern machine learning, NLP and multimodal techniques to improve the recommendation result metrics.
Collaborate with product teams, DAs, and other engineers to deliver features that drive experience optimization of products.
Requirements:
At least 5 years of hands-on experience in recommender systems, with solid understanding of system architecture and core components (e.g., recall, ranking, re-ranking, exploration, cold start).
Bachelor degree or above in computer science or a related technical discipline;
Proficient coding skills and strong algorithm & data structure foundation in Java/Scala;
Practical experience in one or more related areas such as NLP, Ads, Search, or Machine Learning;
Effective communication and teamwork skills, proficiency in Mandarin is a plus, as the role involves collaboration with clients based in China.
HOW TO APPLY:
Interested applicants, kindly send your resume in MS WORD format to or please click on “Apply Now” and provide the below details in your resume.
Reasons for leaving ALL your employment
Current and/or last drawn monthly salary (please provide breakdown)
Expected monthly salary
Availability
We regret only shortlisted candidates will be notified.
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Please read our privacy statement on our corporate website
Career International - FOS Pte Ltd
EA License No: 14C6926
EA Personnel: Foong Mei Qi
EA Personnel Reg No: R
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