LLM & ML Engineer Intern — Global E‑Commerce Logistics

TikTok; Singapore; On-site; SGD 22,000 - 36,000; Part time

Job summary

TikTok is offering an LLM Machine Learning Engineer Intern role (Global E-Commerce, Supply Chain and Logistics) starting in 2027. The team focuses on optimizing assortments, fulfillment speed, and cost through data-driven ML and operations research across the global e-commerce ecosystem.

PhD internships allow hands-on research and product impact. Responsibilities include building DL and OR models for supply chain, predicting ETA and logistics events, forecasting demand, and collaborating with

Qualifications

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficient in machine learning and statistics, with practical experience in common ML/DL algorithms for classification, regression, and clustering.

Responsibilities

• Develop deep learning and operations research models for global E-Commerce supply chain and logistics.
• Use e-commerce data and DL to predict ETA and logistics events; build logistics knowledge graphs.
• Apply time series forecasting to predict sales, manpower, and inventory demand.
• Develop merchant-related algorithms for growth including outreach and seller diagnostics; collaborate with cross-functional teams.
• Predict traffic/conversion and optimize pricing/subsidy strategies to improve merchandise growth within cost targets.

Skills

Machine Learning

Statistics

Python/Java

LLM

Data Analysis

Education

PhD in Software Development/CS/CE

Tools

TensorFlow

PyTorch

Job description

TikTok is offering an LLM Machine Learning Engineer Intern role (Global E-Commerce, Supply Chain and Logistics) starting in 2027. The team focuses on optimizing assortments, fulfillment speed, and cost through data-driven ML and operations research across the global e-commerce ecosystem.

PhD internships allow hands-on research and product impact. Responsibilities include building DL and OR models for supply chain, predicting ETA and logistics events, forecasting demand, and collaborating with