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

Summary

Develops advanced LLM-based agent systems for e-commerce supply chain logistics, focusing on task automation, multimodal reasoning, and real-time optimization of workflows like address correction and trajectory prediction.

- Apply SFT and preference optimization - Build domain LLM capabilities - Build multimodal and structured understanding models - Compress models and optimize inference latency - Design agent architecture and runtime orchestration - Develop agent workflows with task decomposition and execution loops - Develop large language models for supply chain logistics - Evaluate models using benchmarks and golden sets - Implement Retrieval Augmented Generation and knowledge retrieval - Implement memory and state management for agents - Perform regression testing and bad case attribution - Set up online feedback loops for continuous improvement - Support address correction and trajectory prediction scenarios - Train reinforcement learning for language models

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