12 hours ago

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

✓ 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

Use machine learning to detect and predict risks and low-quality merchants, products, and creators across TikTok Shop e-commerce scenarios. Build data models and large-scale network/feature sequence models to improve product experience and business operations, including content understanding, multimodal representation, and community mining. Work on graph storage and graph learning platforms for governance across the e-commerce community, implementing cutting-edge ML/graph/sequence learning to produce scalable models.

Location: Singapore

Workplace: Onsite

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 identify events and behaviors affecting product experience and efficiency, and build data models to support business operations.
•Build data for e-commerce live streaming/video, products, merchants, and creators; develop large-scale network/feature sequence models for content understanding and related tasks.
•Help build a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.
•Research and implement cutting-edge machine learning/graph learning/sequence learning technologies and support production of scalable, optimized ML models.

Key Requirements

•Undergraduate or postgraduate currently pursuing a degree/master in computer science, engineering, or a quantitative field.
•Solid coding skills and familiarity with deep learning/graph neural network/ML frameworks such as PyTorch, TensorFlow, DGL, pyg, and sklearn.
•Knowledge of machine learning/graph learning/sequence learning algorithms such as graph modeling, node/subgraph classification, community mining, and representation learning.
•Relevant industry experience with a solid theoretical foundation in machine learning.
•Preferred: experience applying algorithms in data mining, search/recommendation, content understanding, and governance risk control.

Education:Bachelor's in Computer Science, engineering, or quantitative field

Skills:TeamworkCommunication

Tech Stack:PyTorchTensorFlowDGLPygSklearnDeep learningGraph neural networkNumpyPandasHiveSparkHadoop

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 (BS/MS)

✓ 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

Workplace: Onsite

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 identify events and behaviors affecting product experience and efficiency, and build data models to support business operations.
•Build data for e-commerce live streaming/video, products, merchants, and creators; develop large-scale network/feature sequence models for content understanding and related tasks.
•Help build a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.
•Research and implement cutting-edge machine learning/graph learning/sequence learning technologies and support production of scalable, optimized ML models.

Key Requirements

•Undergraduate or postgraduate currently pursuing a degree/master in computer science, engineering, or a quantitative field.
•Solid coding skills and familiarity with deep learning/graph neural network/ML frameworks such as PyTorch, TensorFlow, DGL, pyg, and sklearn.
•Knowledge of machine learning/graph learning/sequence learning algorithms such as graph modeling, node/subgraph classification, community mining, and representation learning.
•Relevant industry experience with a solid theoretical foundation in machine learning.
•Preferred: experience applying algorithms in data mining, search/recommendation, content understanding, and governance risk control.

Education:Bachelor's in Computer Science, engineering, or quantitative field

Skills:TeamworkCommunication

Tech Stack:PyTorchTensorFlowDGLPygSklearnDeep learningGraph neural networkNumpyPandasHiveSparkHadoop

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn