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

What you'll do

• Research generative recommendation methods and improve model training and inference efficiency on GPUs.
• 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 optimizing long-term value and user experience.

What they ask for

• Completing or recently completed a Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
• Solid foundation in machine learning and deep learning, with research or project experience in at least one of: large language models, reinforcement learning, generative models, recommender systems, or information retrieval.
• Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, or JAX.
• Strong problem-solving skills and interest in complex, open-ended research problems.

Nice to have

• Experience in recommendation systems, generative recommendation, large recommendation models, or retrieval and ranking systems.
• Experience with LLMs or multimodal foundation models, long-term value modeling, causal inference, long-sequence behavior modeling, or large-scale distributed training and inference optimization; relevant publications or competition achievements are also valued.

Tools

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

AI focus

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