Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Summer (PhD)
Core
Build industry-leading recommendation systems and explore generative techniques (Diffusion Models, prompt learning) to improve content discovery and user experience on TikTok.
Role type
PhD Intern, Machine Learning Scientist (Global E-Commerce Content Recommendation)
Builds
Multi-model and cross-scenario recommendation systems for livestreams, short videos, and search
Domain
E-Commerce, Content Recommendation, Generative AI
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, TensorFlow), Deep neural network architectures, Theoretical and empirical research in ML
Preferred skills
Large-scale recommendation systems, Top-tier AI conference publications (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL), C/C++ programming, Data structure and algorithm design
Technologies
PyTorch, TensorFlow, Diffusion Models, Prompt learning
Responsibilities
Build multi-model systems enabling unified recommendation across livestreams, short videos, and search; Deliver end-to-end machine learning solutions; Optimize algorithms and infrastructure to improve recommendation performance; Work with cross-functional teams to design product strategies.
Seniority
Intern (PhD level)
