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

What you'll do

• Build and improve domain LLMs, including post-training, reinforcement learning, and inference optimization for logistics tasks.
• Develop multimodal understanding and agent capabilities, including retrieval, tool use, workflow automation, and integration with existing systems.
• Support agent architecture, evaluation, monitoring, regression testing, 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 ability 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 contributions, or projects.

Tools

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

AI focus

Applies LLMs, agents, reinforcement learning, retrieval, and multimodal AI to logistics and supply-chain tasks, including address correction, prediction, cost analysis, customer-service understanding, and workflow automation.