12 hours ago

Machine Learning Engineer Graduate (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

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

Website LinkedIn

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TikTok

12 hours ago

Machine Learning Engineer Graduate (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

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

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn