Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.
Requirements
MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
Experience in large-scale application development, preferably in content-related user-facing applications.
Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
Publication record at top-tier conferences or journals is a plus.
