Machine Learning Engineer Intern (Global E-Commerce, User Growth) - 2027 Start
Core
Building promotion algorithms and budget optimization models to drive global e-commerce growth by fusing content recommendation with real-time subsidies.
Role type
Machine Learning Engineer Intern (Promotion Algorithms & Operations Research)
Builds
Global promotion algorithms, intelligent pricing models, and budget allocation systems for TikTok's e-commerce platform.
Domain
Global E-Commerce, User Growth, Operations Research
Deliverable
production ML models
Required skills
Machine learning, deep learning, causal inference, uplift modeling, operations research optimization, linear programming, integer programming, dynamic programming, reinforcement learning, LLMs, AI Agents
Preferred skills
Publications in top-tier ML venues (KDD, NeurIPS, ICML), Kaggle competition results, industrial deployment experience in uplift modeling or budget allocation
Technologies
Uplift Modeling, E2E Modeling, RL, LLMs, AI Agents, Linear Programming, Integer Programming, Dynamic Programming
Responsibilities
Model user demand elasticity for precision subsidies and intelligent pricing; Design globally optimal budget allocation algorithms; Integrate real-time voucher capabilities into recommendation pipelines; Research and productionize cutting-edge causal inference and AI technologies for user conversion.
Seniority
Intern
