推荐算法工程师-抖音
Core
Design and optimize large-scale recommendation systems for TikTok's short video, live streaming, and social features to enhance user experience and business growth.
Role type
Senior IC machine-learning engineer (recommendation systems)
Builds
Industry-leading recommendation architectures and large model algorithms for TikTok's ecosystem
Domain
Consumer social media, recommendation systems, deep learning
Deliverable
production ML models
Required skills
Deep learning, Graph Neural Networks, Multi-task Learning, Learning to Rank, Model compression and acceleration, Multi-modal technologies, Data structures and algorithms, Machine learning, Natural language processing, Data mining
Preferred skills
Experience in recommendation systems, computational advertising, or search engines
Technologies
Large language models (LLM), Computer Vision (CV), NLP frameworks
Responsibilities
Collaborate with peers to build top-tier recommendation systems; Apply cutting-edge ML techniques to optimize user experience; Conduct research on specific algorithms (e.g., GNN, L2R) to solve business problems; Partner with product and operations teams to define algorithmic strategies for ecosystem growth.