Machine Learning Engineer Intern (E-Commerce Recommendation Mall) - 2027 Start (PhD)

What you'll do

• Research generative recommendation methods and improve personalization and GPU training and inference efficiency.
• Apply LLMs and reinforcement learning to recommendation challenges such as cold start, long-tail item distribution, and user intent understanding.
• Develop agentic recommendation approaches and algorithms for long-term value and user experience optimization.

What they ask for

• Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
• Solid machine learning and deep learning foundation, with research or project experience in at least one of: LLMs, reinforcement learning, generative models, recommender systems, or information retrieval.
• Proficient in Python and at least one mainstream deep learning framework.
• Strong problem-solving skills and interest in complex, open-ended research problems.

Nice to have

• Experience in recommendation systems, generative recommendation, LLMs or multimodal foundation models, or related areas listed in the posting.
• Top-tier conference publications or strong achievements in major technical competitions.

Tools

Python, PyTorch, TensorFlow, JAX, LLMs, RL, GPUs

AI focus

Research on generative, LLM-based, and agentic recommendation systems, including personalization, recommendation reasoning, and long-term value and user experience optimization.