Machine Learning Engineer Graduate (Global E-Commerce) - 2027 Start
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
Machine Learning Engineer (Graduate)
Builds
End-to-end algorithm solutions for TikTok Shop's intelligent commerce ecosystem
Domain
E-Commerce / AI / Machine Learning
Deliverable
production ML models
Required skills
Python, C++, Java, Go, Rust, PyTorch, TensorFlow, machine learning, deep learning, statistics, algorithms
Preferred skills
recommendation systems, NLP, CV, multimodal learning, LLMs, generative models, RL, intelligent agents, E-Commerce domain experience, top-tier conference publications, competitive programming
Technologies
PyTorch, TensorFlow
Responsibilities
Design and develop ML algorithms for large-scale e-commerce scenarios; Apply ML, deep learning, NLP, CV, and LLMs to solve business problems; Build end-to-end algorithm solutions from data processing to deployment; Develop scalable systems for real-time or offline learning and inference; Partner with cross-functional teams to translate needs into technical solutions; Run experiments, analyze model performance, and debug production issues; Explore next-gen intelligent systems like foundation models and AI agents
