Machine Learning Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)
Core
Design and develop large-scale ML algorithms and intelligent systems for e-commerce scenarios including recommendation, ranking, retrieval, forecasting, and conversational AI.
Role type
PhD-level Machine Learning Engineer (Research & Production)
Builds
End-to-end algorithm solutions for TikTok Shop's intelligent commerce ecosystem
Domain
E-Commerce, Recommendation Systems, LLMs, Multimodal AI
Deliverable
production ML models
Required skills
Machine learning, deep learning, statistics, algorithms, Python, C++, Java, Go, Rust, PyTorch, TensorFlow
Preferred skills
Recommendation systems, NLP, CV, multimodal learning, LLMs, generative models, RL, intelligent agents, E-Commerce domain experience, top-tier conference publications
Technologies
PyTorch, TensorFlow, Python, C++, Java, Go, Rust
Responsibilities
Design and develop ML algorithms for large-scale e-commerce scenarios; Build end-to-end algorithm solutions from data processing to deployment; Develop scalable systems for real-time or offline learning and inference; Run experiments, analyze model performance, and debug production issues; Explore next-gen intelligent systems like foundation models and AI agents
Seniority
PhD, Research & Hands-on IC
