Role OverviewJoin the E-commerce Global Supply Chain and Logistics team at TikTok to contribute to building AI-native capabilities for global logistics, including logistics agents, address intelligence, context engineering, agent evaluation, and workflow automation for complex supply chain operations.
What You Will Do
Support the development of large language models, agent systems, and related intelligent systems for the supply chain and logistics of the global E-Commerce business, and participate in building domain LLM model capabilities for e-commerce supply chain and logistics.
Why It Might Be a Fit
This role is for candidates who want to apply LLMs, agents, reinforcement learning, retrieval systems, and software engineering to real logistics problems at global scale, and who have experience with LLMs, agents, RAG, tool use, post-training, evaluation, or applied NLP systems.
Requirements
- Currently pursuing a PhD degree 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 programming ability in Python and familiarity with at least one production-oriented language such as Java, C++, Go, or TypeScript
- Familiarity with machine learning and deep learning frameworks such as PyTorch, TensorFlow, JAX, vLLM, Hugging Face, LangChain, LlamaIndex, or similar ecosystems
Benefits
- Internship experience with hands-on learning, community-building, and professional development events
- Opportunity to contribute to products and research, as well as to the organization's future plans and emerging technologies
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