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

What you'll do

• Build and optimize domain LLMs and applications for logistics, including address correction, trajectory prediction, and cost analysis.
• Develop multimodal and structured understanding systems for logistics data and integrate them with forecasting and decision systems.
• Design agent workflows and infrastructure, including retrieval, tool use, orchestration, evaluation, monitoring, and continuous improvement.

What they ask for

• Completing or recently completed a PhD in AI, computer science, machine learning, NLP, data mining, software engineering, or a related discipline.
• Experience with LLMs, agents, RAG, tool use, post-training, evaluation, or applied NLP systems.
• Strong Python programming and proficiency in 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

• Hands-on experience with coding agents, agent orchestration, or automated evaluation frameworks.
• Experience with LLM post-training, production benchmarks, logistics, e-commerce, or related systems; publications or strong open-source work.

Tools

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

AI focus

Apply LLMs, agents, reinforcement learning, retrieval, multimodal understanding, and evaluation to global logistics and supply chain workflows.