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.
Important Note: Career International - FOS Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
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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