Machine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start
Core
Building and scaling a generative recommendation system for TikTok's e-commerce platform to enhance user shopping experiences.
Role type
Graduate Machine Learning Engineer (Generative Recommendation & LLM)
Builds
Next-generation generative recommender systems, agentic architectures, and LLM-based personalization features for TikTok's e-commerce ecosystem.
Domain
E-commerce, Recommendation Systems, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Python, PyTorch/TensorFlow/JAX, Generative models, Reinforcement learning, Large language models, Information retrieval, GPU optimization
Preferred skills
Recommendation systems in live commerce/e-commerce, Generative recommendation, Multimodal foundation models, Cross-domain transfer learning, Long-term value modeling, Long-sequence user behavior modeling, Top-tier conference publications
Technologies
PyTorch, TensorFlow, JAX, GPUs, LLMs, RL
Responsibilities
Drive evolution from discriminative to generative paradigms in recommender systems; Leverage LLMs and RL to enhance semantic understanding and reasoning; Explore self-evolving agentic architectures for real-time personalized decisions; Build algorithms for measuring and optimizing long-term user value and experience.
Seniority
Graduate (Entry-level)
