12 hours ago

Machine Learning Engineer Graduate (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

Build and deploy machine learning solutions to detect risks and low-quality merchants, products, and creators across TikTok Shop’s e-commerce platform. Develop data models and large-scale network/feature sequence models for content understanding, multimodal representation, and community mining. Work on graph storage and graph learning platforms to support governance, and research cutting-edge ML/graph/sequence techniques to deliver scalable, optimized models for business scenarios.

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, and help businesses manage and control them.
•Use algorithms to identify events and 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 scenarios such as content understanding, multimodal representation, community mining, and support for products, live streaming, and video management.
•Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within TikTok’s e-commerce community.
•Research and implement cutting-edge machine learning/graph learning/sequence learning technologies to produce scalable and optimized ML models.

Key Requirements

•Final-year graduate in Computer Science, engineering, or a quantitative field.
•Strong coding skills and familiarity with deep learning/graph neural network/ML frameworks such as PyTorch, TensorFlow, DGL, pyg, and sklearn.
•Knowledge of algorithms in machine learning/graph learning/sequence learning (e.g., graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised or semi-supervised learning).
•Relevant industry experience with a solid theoretical foundation in machine learning.
•Preferred: skills with numpy and pandas, and familiarity with big data tools such as Hive, Spark, and Hadoop.

Experience:E-commerce

Education:Bachelor's

Skills:TeamworkCommunication

Tech Stack:PyTorchTensorFlowDGLPygSklearnDeep learningGraph neural networkMachine learningNumpyPandasHiveSparkHadoop

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 (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: 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, and help businesses manage and control them.
•Use algorithms to identify events and 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 scenarios such as content understanding, multimodal representation, community mining, and support for products, live streaming, and video management.
•Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within TikTok’s e-commerce community.
•Research and implement cutting-edge machine learning/graph learning/sequence learning technologies to produce scalable and optimized ML models.

Key Requirements

•Final-year graduate in Computer Science, engineering, or a quantitative field.
•Strong coding skills and familiarity with deep learning/graph neural network/ML frameworks such as PyTorch, TensorFlow, DGL, pyg, and sklearn.
•Knowledge of algorithms in machine learning/graph learning/sequence learning (e.g., graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised or semi-supervised learning).
•Relevant industry experience with a solid theoretical foundation in machine learning.
•Preferred: skills with numpy and pandas, and familiarity with big data tools such as Hive, Spark, and Hadoop.

Experience:E-commerce

Education:Bachelor's

Skills:TeamworkCommunication

Tech Stack:PyTorchTensorFlowDGLPygSklearnDeep learningGraph neural networkMachine learningNumpyPandasHiveSparkHadoop

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn