Machine Learning Engineer Graduate (Global E-Commerce, User Growth) - 2027 Start (PhD)
Core
Building promotion algorithms and budget optimization engines for TikTok's global e-commerce to drive user growth and GMV.
Role type
PhD-level Machine Learning Engineer (Operations Research & Causal Inference)
Builds
Global promotion algorithms, intelligent pricing models, and budget allocation systems for e-commerce.
Domain
Global E-Commerce, User Growth, Operations Research
Deliverable
production ML models
Required skills
Causal Inference, Uplift Modeling, Operations Research Optimization, Reinforcement Learning, Large-scale Recommendation Algorithms, Linear/Integer Programming, LLMs, AI Agents
Preferred skills
Top-tier conference publications (KDD, NeurIPS, ICML), Data mining competition awards
Technologies
RL, LLMs, AI Agents, Linear Programming, Integer Programming
Responsibilities
Model user demand elasticity for precision subsidies and intelligent pricing; Design globally optimal budget allocation algorithms; Integrate real-time vouchers into recommendation pipelines; Research and productionize frontier AI technologies for user conversion.
Seniority
PhD, Research & Production
