ML Engineer: Graph Learning & Risk Detection

TIKTOK PTE. LTD.

Singapore

On-site

SGD 105,000 - 165,000

Full time

4 days ago
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Job summary

TikTok is seeking talented individuals to join its AI/ML team in Singapore. You will work on advanced machine learning, graph learning, and sequence modeling to detect risks, improve e-commerce governance, and empower business teams.

As a graduate or early-career researcher, you will explore cutting-edge technologies, build scalable models, and contribute to production-grade ML systems. This role offers opportunities to impact the e-commerce ecosystem globally.

Qualifications

  • Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or related technical discipline.
  • Solid coding skills, familiar with deep learning/graph NN frameworks (PyTorch, TensorFlow, DGL, pyg, sklearn).
  • Familiar with graph/sequence learning algorithms and representations.
  • Experience building AI-Agent projects, including agent workflows and multi-agent collaboration.
  • Strong ML theoretical foundation with relevant industry exposure.

Responsibilities

  • Mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce contexts using algorithms.
  • Build data models to improve product experience and ecosystem governance.
  • Develop data for entities like e-commerce live streaming, products, merchants, and creators; support scalable ML models.
  • Contribute to graph storage/learning platform to enhance relationships in the ecosystem.
  • Explore cutting-edge ML/graph/sequence learning research and apply in production.

Skills

Python
Deep learning
Machine learning
Graph neural networks
Research

Education

Bachelor's degree in CS/Software or related field
Master's degree in relevant field

Tools

PyTorch
TensorFlow
DGL
pyg
scikit-learn

Job description

TikTok is seeking talented individuals to join its AI/ML team in Singapore. You will work on advanced machine learning, graph learning, and sequence modeling to detect risks, improve e-commerce governance, and empower business teams.

As a graduate or early-career researcher, you will explore cutting-edge technologies, build scalable models, and contribute to production-grade ML systems. This role offers opportunities to impact the e-commerce ecosystem globally.

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