Data Science Lead

5 days ago


Singapore TIKTOK PTE. LTD. Full time

The e-commerce platform is a key component of TikTok's business, and we are looking for talented Machine Learning Engineers to join our team and contribute to its development.

About the Team

We use advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency.

We aim to create a risk-free e-commerce ecosystem where businesses can thrive. To achieve this, we leverage advanced AI technology to detect and mitigate potential risks and violations.

Responsibilities
  1. Mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios.
  2. Identify events and behaviors that affect product experience and efficiency, and build data models to support business operations.
  3. Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, and develop large-scale network/feature sequence models to support business scenarios.
  4. Build a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.
  5. Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, and implement these technologies in practical business scenarios.
Requirements
  • A recent Ph.D or final year Ph.D graduate in Computer Science, engineering or quantitative field.
  • Experience with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.
  • Familiarity with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning.
  • Relevant industry experience with solid theoretical foundation of machine learning.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.



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