Graduate Algorithm Engineer - Global Logistics ML

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance is building advanced ML-driven supply chain and logistics solutions for its global e-commerce platforms. The team develops deep learning and operations research models to optimize inventory, fulfillment and pricing with data-driven insights.

We seek PhD holders with strong stats, Python/Java proficiency, and hands-on experience in ML frameworks to tackle complex predictive tasks, network analytics, and large-scale experimentation in a fast-paced environment.

Qualifications

• PhD in software development, computer science, or related field.
• Strong machine learning and statistics with practical experience.
• Proficient in Python/Java and ML frameworks (TensorFlow/PyTorch).

Responsibilities

• Develop deep learning and operations research models for global e-commerce supply chain and logistics.
• Predict ETA and other logistics events using ML and NLP/LLM techniques to improve user experience.
• Forecast sales and demand using time-series methods across multiple granularities.
• Support merchant growth through ML-driven outreach, tiering, and performance diagnostics.
• Optimize pricing/subsidy strategies and traffic distribution using large-scale data.

Skills

Machine Learning

Statistics

Python/Java

Education

PhD in CS/Software Eng

Tools

TensorFlow

PyTorch

Job description

ByteDance is building advanced ML-driven supply chain and logistics solutions for its global e-commerce platforms. The team develops deep learning and operations research models to optimize inventory, fulfillment and pricing with data-driven insights.

We seek PhD holders with strong stats, Python/Java proficiency, and hands-on experience in ML frameworks to tackle complex predictive tasks, network analytics, and large-scale experimentation in a fast-paced environment.