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

What you'll do

• Develop domain LLM and multimodal capabilities, including post-training, optimization, and logistics use cases.
• Build agent workflows involving retrieval, task execution, tool use, and knowledge reuse across logistics scenarios.
• Support agent architecture, evaluation, monitoring, regression testing, and continuous improvement.

What they ask for

• Currently pursuing an undergraduate degree in Software Development, Computer Science, Computer Engineering, 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 coding or long-horizon agents, agent harnesses, workflow orchestration, or automated evaluation.
• Experience with LLM post-training, evaluation datasets, or e-commerce, logistics, operations research, data platforms, knowledge graphs, or enterprise knowledge management.

Tools

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

AI focus

Applies LLMs, agents, reinforcement learning, retrieval, multimodal understanding, and evaluation to logistics and supply chain operations.