Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM / Agent )- 2027 Summer
Core
Building AI-native capabilities for global logistics, including logistics agents, address intelligence, context engineering, agent evaluation, and workflow automation for complex supply chain operations.
Role type
Machine Learning Engineer Intern (LLM & Agents)
Builds
Logistics agents, domain LLMs, multimodal understanding systems, and agent workflows for e-commerce supply chain.
Domain
E-commerce, Global Supply Chain, Logistics
Deliverable
production ML models
Required skills
LLMs, agents, RAG, tool use, post-training, evaluation, Python, Java/C++/Go/TypeScript, PyTorch/TensorFlow/JAX/vLLM/Hugging Face/LangChain/LlamaIndex
Preferred skills
coding agents, long-horizon agents, computer-use agents, workflow orchestration, automated evaluation systems, LLM post-training (SFT/DPO/PPO/GRPO/RLHF), benchmark building, e-commerce/logistics domain knowledge
Technologies
PyTorch, TensorFlow, JAX, vLLM, Hugging Face, LangChain, LlamaIndex, Harness
Responsibilities
Develop large language models and agent systems for supply chain; Build domain LLM capabilities including pre-training, SFT, RL, and optimization; Support multimodal and structured understanding for logistics scenarios; Develop core agent capabilities for task decomposition and execution; Support agent architecture, engineering, evaluation, and evolution.
Seniority
Intern
