ML Engineer Intern — E‑Commerce Logistics & LLM Systems

TikTok

Seattle (WA)

On-site

USD 70,000 - 95,000

Full time

13 hours ago
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Benefits offered by this job

Health insurance
Housing allowance
10 paid holidays per year
Paid sick time

Job summary

TikTok is seeking a PhD internship in Seattle to join the E-commerce Global Supply Chain and Logistics team. You will apply LLMs, agents, reinforcement learning, and retrieval systems to real-world, global supply chain problems and help build AI-native capabilities for logistics at scale.

You will contribute to model training, evaluation, and deployment while collaborating with experts and leveraging cutting-edge research.

Qualifications

  • PhD candidate pursuing AI or related disciplines.
  • Experience with LLMs, agents, RAG, tool use, evaluation, or applied NLP.

Responsibilities

  • Support development of large language models and agent systems for global e-commerce logistics.
  • Build domain LLM capabilities for supply chain including pre-training, SFT, PPO, GRPO, reward modeling and inference optimization.
  • Support multimodal and structured understanding for logistics scenarios and scenario simulation.
  • Support core agent capability development for workflows, including AutoResearch, Harness-based task decomposition, RAG, knowledge retrieval, and tool use.
  • Assist in agent architecture, evaluation, and evolution including runtime orchestration and continuous improvement.

Skills

LLMs
Agents
RAG
Python
Java
C++
Go
TypeScript
NLP frameworks

Education

PhD candidate

Tools

PyTorch
TensorFlow
JAX
HuggingFace
LangChain
LlamaIndex
vLLM

Job description

TikTok is seeking a PhD internship in Seattle to join the E-commerce Global Supply Chain and Logistics team. You will apply LLMs, agents, reinforcement learning, and retrieval systems to real-world, global supply chain problems and help build AI-native capabilities for logistics at scale.

You will contribute to model training, evaluation, and deployment while collaborating with experts and leveraging cutting-edge research.

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