Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM/Agent) - 2027 Start (PhD)

What you'll do

• Build and improve logistics LLMs and intelligent systems, including post-training, reinforcement learning, and inference optimization.
• Develop multimodal and structured understanding for logistics scenarios and integrate capabilities with forecasting and decision systems.
• Build and evaluate agents and workflow tools, including retrieval, orchestration, execution, monitoring, and continuous improvement.

What they ask for

• Currently pursuing a PhD in artificial intelligence, computer science, operations research, automation, statistics, mathematics, or a related discipline.
• Experience with LLMs, agents, RAG, tool use, post-training, evaluation, or applied NLP systems.
• Strong Python programming and familiarity with at least one of Java, C++, Go, or TypeScript.
• Familiarity with machine learning and deep learning frameworks or ecosystems such as PyTorch, TensorFlow, JAX, vLLM, Hugging Face, LangChain, or LlamaIndex.

Nice to have

• Experience with agent systems, LLM post-training, benchmarks, or evaluation datasets.
• Experience in e-commerce, logistics, operations research, data platforms, knowledge graphs, or enterprise knowledge management; relevant publications, open-source work, or projects.

Tools

Python, Java, C++, Go, TypeScript, PyTorch, TensorFlow, JAX

AI focus

Develop and evaluate LLMs, agents, retrieval systems, reinforcement-learning and post-training methods, multimodal logistics understanding, and workflow automation.