AI Agent & ML Engineer for Global E‑Commerce

TIKTOK PTE. LTD.

Singapore

On-site

SGD 90,000 - 130,000

Full time

4 days ago
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Job summary

TikTok PTE. LTD. is seeking talented minds to join our team to build deep learning and optimization models that power global e-commerce logistics.

You will pioneer domain-specific AI agents, leverage massive ecommerce data, and collaborate with product and operations teams to deliver scalable solutions. Ideal candidates have a strong ML background, hands-on experience with TensorFlow or PyTorch, and a passion for research-driven product impact.

Qualifications

  • Bachelor's degree in Software Development, Computer Science, Computer Engineering or related field.
  • Strong ML and statistics knowledge 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.
  • Pioneer domain-specific LLMs using CPT, SFT and RL; design AI Agents to diagnose and resolve issues.
  • Use ML/DL to predict ETA and logistics events to improve user experience.
  • Forecast sales and inventory needs using time-series methods for various horizons.
  • Collaborate with merchant sourcing and pricing systems to optimize growth and efficiency.
  • Analyze merchandise traffic and pricing strategies to achieve growth targets within cost constraints.

Skills

Machine Learning
Statistics
Python/Java

Education

Bachelor's degree in Software Development
Bachelor's degree in Computer Science

Tools

TensorFlow
PyTorch

Job description

TikTok PTE. LTD. is seeking talented minds to join our team to build deep learning and optimization models that power global e-commerce logistics.

You will pioneer domain-specific AI agents, leverage massive ecommerce data, and collaborate with product and operations teams to deliver scalable solutions. Ideal candidates have a strong ML background, hands-on experience with TensorFlow or PyTorch, and a passion for research-driven product impact.

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