12 hours ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join an AI-driven team working on risk detection and governance for TikTok’s e-commerce platform. You’ll use machine learning and graph/sequence learning to mine and predict risks and low-quality merchants, products, and creators, build data models for ecosystem health and business operations, and develop large-scale graph storage/learning systems. The role emphasizes research and implementation of scalable, optimized ML models in practical e-commerce scenarios.

Location: Singapore

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern 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 detect events and behaviors that affect product experience and efficiency, and build data models to support ecosystem health and business operations.
•Build data and large-scale network/feature sequence models for content understanding, multimodal representation, community mining, and support product/live/video management scenarios.
•Build large-scale graph storage and graph learning platforms to improve relationship building and governance in TikTok’s e-commerce community.
•Explore and implement cutting-edge ML/graph/sequence learning technologies and help produce scalable, optimized machine learning models.

Key Requirements

•Currently pursuing a PhD in Computer Science, engineering, or a quantitative field.
•Solid coding skills and familiarity with deep learning/ML frameworks such as PyTorch, TensorFlow, DGL, pyg, and scikit-learn.
•Working knowledge of ML/graph learning/sequence learning algorithms (e.g., graph modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning).
•Relevant industry experience with a solid theoretical foundation in machine learning.
•Preferred: experience applying algorithms to data mining, search recommendation, content understanding, and governance risk control.

Experience:E-commerceMachine learning researchGraph learningSequence learning

Education:PhD / Doctorate in Computer Science, engineering or quantitative field

Skills:TeamworkCommunicationResearch mindset

Tech Stack:PyTorchTensorFlowDGLPygScikit-learnNumpyPandasHiveSparkHadoop

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

Website LinkedIn

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TikTok

12 hours ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Singapore

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern 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 detect events and behaviors that affect product experience and efficiency, and build data models to support ecosystem health and business operations.
•Build data and large-scale network/feature sequence models for content understanding, multimodal representation, community mining, and support product/live/video management scenarios.
•Build large-scale graph storage and graph learning platforms to improve relationship building and governance in TikTok’s e-commerce community.
•Explore and implement cutting-edge ML/graph/sequence learning technologies and help produce scalable, optimized machine learning models.

Key Requirements

•Currently pursuing a PhD in Computer Science, engineering, or a quantitative field.
•Solid coding skills and familiarity with deep learning/ML frameworks such as PyTorch, TensorFlow, DGL, pyg, and scikit-learn.
•Working knowledge of ML/graph learning/sequence learning algorithms (e.g., graph modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning).
•Relevant industry experience with a solid theoretical foundation in machine learning.
•Preferred: experience applying algorithms to data mining, search recommendation, content understanding, and governance risk control.

Experience:E-commerceMachine learning researchGraph learningSequence learning

Education:PhD / Doctorate in Computer Science, engineering or quantitative field

Skills:TeamworkCommunicationResearch mindset

Tech Stack:PyTorchTensorFlowDGLPygScikit-learnNumpyPandasHiveSparkHadoop

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn