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

What you'll do

• Explore generative recommendation methods, including generative retrieval and re-ranking, and optimize model training and inference efficiency on GPUs.
• Apply LLMs, reinforcement learning, and agents to improve recommendation capabilities for e-commerce challenges such as cold start and user intent understanding.
• Develop approaches to model and optimize long-term value and user experience.

What they ask for

• Currently pursuing an undergraduate degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Solid foundation in machine learning and deep learning, with research or project experience in at least one listed area: 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 with recommendation systems or related large-scale consumer products and architectures.
• Experience with LLMs or multimodal models, long-term value modeling, distributed training, or related areas listed in the posting.

Tools

Python, PyTorch, TensorFlow, JAX, LLMs, Reinforcement Learning, GPUs

AI focus

Research and develop generative, LLM-based, and agentic recommendation systems, including personalization, long-term value and user-experience modeling, and training and inference optimization.