Machine Learning Algorithm Research Engineer
Core
Researching and building large-scale recommendation systems using LLMs, GNNs, and large models to solve cold-start, real-time, and diversity challenges for TikTok's global user base.
Role type
Senior IC machine learning research engineer (recommendation systems)
Builds
Next-generation recommendation algorithms for user growth, live streaming, and e-commerce
Domain
Social media, short-video platforms, and e-commerce
Deliverable
production ML models
Required skills
PhD in AI/CS/Math, LLMs, graph neural networks (GNNs), large model technologies, recommendation systems, natural language processing, data mining, software design
Preferred skills
Experience in computational advertising or search engines
Technologies
Large language models (LLMs), graph neural networks (GNNs)
Responsibilities
Designing end-to-end modeling solutions for complex recommendation chains, leveraging LLMs for cold-start user intention inference, integrating GNNs for social preference modeling, optimizing real-time perception and decision-making capabilities
Seniority
Senior, hands-on IC