Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Platform Governance) - 2026 Start (PhD)

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Teamwork","Communication"]

Use advanced machine learning to detect and predict risks and low-quality merchants, products, and creators across TikTok’s e-commerce platform. Build data models for events and behaviors that impact product experience and efficiency, and develop large-scale network/feature sequence models and graph storage/graph learning systems. Research cutting-edge graph and sequence learning methods and deploy scalable, optimized ML models to support governance and business operations.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Platform Governance) - 2026 Start (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Use advanced machine learning to detect and predict risks and low-quality merchants, products, and creators across TikTok’s e-commerce platform. Build data models for events and behaviors that impact product experience and efficiency, and develop large-scale network/feature sequence models and graph storage/graph learning systems. Research cutting-edge graph and sequence learning methods and deploy scalable, optimized ML models to support governance and business operations.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Use algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios.
  • •Use algorithms to identify events/behaviors that affect product experience and efficiency, and build data models to support a favorable ecosystem and business operations.
  • •Build data and large-scale network/feature sequence models for content understanding, multimodal representation, community mining, and video/live streaming management.
  • •Build large-scale graph storage and graph learning platforms to improve relationship building and governance within the TikTok e-commerce community.
  • •Research and implement cutting-edge machine learning/graph/sequence learning technologies, supporting scalable and optimized ML model production.

Key Requirements

  • •Final year PhD graduate in Computer Science, engineering, or a quantitative field.
  • •Strong coding skills and familiarity with deep learning/ML frameworks such as PyTorch, TensorFlow, DGL, pyg, and sklearn.
  • •Knowledge of ML/graph/sequence learning algorithms including graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, and self-/semi-supervised learning.
  • •Relevant industry experience with a solid theoretical foundation in machine learning.
  • •Preferred: published papers in high-level CS conferences (e.g., ACL, EMNLP, NIPS, AAAI) or competition experience.
Education:PhD / Doctorate in Computer Science, engineering, or quantitative field
Skills:TeamworkCommunication
Tech Stack:PyTorchTensorFlowDGLPygSklearnDeep learningGraph neural networkMachine learningNumpyPandasHiveSparkHadoopGraph learningSequence learning

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn