- Optimize the recommendation quality and user profile in Company's website, provide users the best shopping experience;
- Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the recommendation result metrics;
- Work with products and DAs, and other engineers to deliver features to drive the 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 the field of computer science or a related technical discipline;
- Proficient coding skills and strong algorithm & data structure basis 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: R22106936
