Machine Learning in Recommender System

JOB AD:

Key Responsibilities:

· Carry out research on recommender systems and apply to practical scenarios such as advertisement, cross-domain etc, while preserving user privacy · Literature review and investigate the state of the art regarding recommendation systems including mutimodal information fused recommendation · Dataset acquisition · Build models with novelty, applicability, and practicality in mind · Model evaluation and iteration · Navigate ambiguity that might occur in the projects or relationship with stakeholders · Building a demonstration system to showcase the value of strength · Write documentation, research papers, or patent application (whichever applicable)

·Position Requirements:

· PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) · Publication track records in top tier Computing/NLP/AI/ML conferences or journals · Passionate about data and machine learning · Programming experience in Python, R, C, or C++ · Software engineering background, e.g., you have a Computer Science background, or software engineering working experience · Able to work independently and as a team, and drive a project from its inception to the finish line on time

Preferred:

· Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing