TikTok

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

Seattle, WA, USPosted 19 days ago

Job Description

Technology

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

Location

:

Seattle

Employment Type

:

Intern

Job Code

:

A78529B

Responsibilities

Join the E-commerce Global Supply Chain and Logistics team at TikTok. We are building AI-native capabilities for global logistics, including logistics agents, address intelligence, context engineering, agent evaluation, and workflow automation for complex supply chain operations. 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.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities

  • Responsible for supporting the development of large language models, agent systems, and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
  • Participate in building domain LLM model capabilities for e-commerce supply chain and logistics, including continued pre-training / CPT, SFT, preference optimization, reinforcement learning such as GRPO / PPO, reward or judge model design, model compression, inference cost and latency optimization, and landing scenarios such as address correction, trajectory prediction, logistics cost analysis, customer service semantic underst

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