Lead Machine Learning Engineer - Video Recommendation-Content Ecosystem - Singapore
Core
Design and optimize large-scale recommendation algorithms for TikTok's content ecosystem to deliver personalized user experiences and foster creator growth.
Role type
Lead Machine Learning Engineer (Video Recommendation)
Builds
Industry-leading social recommendation system for content consumption, social interaction, and notifications
Domain
Social Media / Recommendation Systems / Machine Learning
Deliverable
production ML models
Required skills
Recommendation system design, Graph Neural Networks (GNNs), full-lifecycle user sequence modeling, data structures and algorithms, software development, model training and deployment (Tensorflow/Pytorch/MXNet)
Preferred skills
Leading cross-timezone projects, deep product analysis
Technologies
Tensorflow, Pytorch, MXNet
Responsibilities
Design and develop social recommendation algorithms; Integrate ML techniques into business scenarios to optimize models; Collaborate with product teams to develop targeted algorithm strategies; Research next-generation recommendation models based on GNNs and user sequence modeling
Seniority
Lead, hands-on IC with team leadership