ML Engineer Intern — Global E‑Commerce Logistics

ByteDance

Singapore

On-site

SGD 48,000 - 80,000

Full time

6 days ago
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Job summary

ByteDance is seeking PhD candidates to contribute to the development of deep learning and operations research models for its global e-commerce logistics. The role focuses on building domain-specific AI capabilities, leveraging large-scale ecommerce data for continual pre-training and reinforcement learning, and deploying intelligent agents to diagnose and resolve complex user-facing and operational issues.

The internship offers hands-on learning, collaboration with industry experts, and

Qualifications

  • Currently pursuing a PhD in a technical field related to software development, CS, or CE.
  • Proficient in ML/statistics with practical application experience.
  • Proficient in Python/Java and at least one ML/DL framework (TensorFlow/PyTorch).

Responsibilities

  • Develop deep learning and operations research models for global supply chain and logistics.
  • Pioneer domain-specific LLMs for Continual Pre-Training (CPT), SFT, and RL; design AI Agents for autonomous diagnosis and resolution.
  • Use big data and DL to predict ETA and logistics events to enhance user experience.
  • Apply time-series forecasting for demand, inventory and staffing projections.
  • Collaborate with merchant growth and pricing teams to optimize strategies and outcomes.
  • Predict traffic/conversion using ML to improve merchandising performance under cost targets.

Skills

Machine Learning
Statistics
Python
Java
Deep Learning

Education

PhD in Software Development/CS/CE or related field

Tools

TensorFlow
PyTorch

Job description

ByteDance is seeking PhD candidates to contribute to the development of deep learning and operations research models for its global e-commerce logistics. The role focuses on building domain-specific AI capabilities, leveraging large-scale ecommerce data for continual pre-training and reinforcement learning, and deploying intelligent agents to diagnose and resolve complex user-facing and operational issues.

The internship offers hands-on learning, collaboration with industry experts, and

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