Machine Learning Engineer Intern (E-Commerce Recommendation Live)- 2027 Summer
Core
Build and optimize recommendation models for live commerce, covering recall, pre-ranking, ranking, and mixed ranking to improve GMV, conversion, and user value.
Role type
Machine Learning Engineer Intern (Recommendation Systems)
Builds
Recommendation models and multimodal solutions for TikTok Shop live commerce
Domain
E-commerce, Live Commerce, Recommendation Systems
Deliverable
production ML models
Required skills
Python, C++, PyTorch, Deep Learning, Recommendation Systems, Data Structures, Algorithms, Large-scale Model Training
Preferred skills
Generative Recommendation, Large Recommendation Models, LLMs, Multimodal Foundation Models, Reinforcement Learning, Cross-domain Transfer Learning, Long-term Value Optimization, Long-sequence User Behavior Modeling
Technologies
PyTorch, LLMs, Multimodal Models
Responsibilities
Build and optimize recommendation models across recall, pre-ranking, ranking, and mixed ranking; Develop cross-domain and multimodal modeling solutions; Advance next-generation recommendation technologies including generative recommendation and reinforcement learning; Partner with cross-functional teams to launch scalable solutions and run experiments.
