ByteDance

2 days ago

Machine Learning Engineer Graduate (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: 38 minutes agoStatus: Live

Job Summary

Build and deploy machine learning models to detect and predict risks and low-quality merchants, products, and creators across an e-commerce platform. Develop data models and large-scale network/feature sequence models for content understanding, multimodal representation, community mining, and governance. Contribute to graph storage and graph learning systems, research cutting-edge ML/graph/sequence methods, and support production-ready, scalable model implementations.

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, and help businesses manage them.
•Use algorithms to identify events and behaviors affecting product experience and efficiency, and build data models to support a favorable ecosystem and business operations.
•Build data for entities such as live streaming/video, products, merchants, and creators, and develop large-scale network/feature sequence models for content understanding and multimodal representation.
•Contribute to building large-scale graph storage and graph learning platforms to improve relationship building and governance across the e-commerce community.
•Research and implement cutting-edge machine learning/graph learning/sequence learning technologies and support scalable, optimized model production.

Key Requirements

•Completing or recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Solid 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).
•Relevant industry experience with a solid theoretical foundation of machine learning.
•Ability to commit to an onboarding date by end of year 2026 and clearly state availability and graduation date in the resume.

Education:PhD / Doctorate

Skills:TeamworkCommunication

Tech Stack:PyTorchTensorFlowDGLPygSklearnDeep learningGraph neural networksNumpyPandasHiveSparkHadoopGraph learningSequence learningGraph neural networkSelf-supervised learningSemi-supervised learning

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

Machine Learning Engineer Graduate (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: 38 minutes 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, and help businesses manage them.
•Use algorithms to identify events and behaviors affecting product experience and efficiency, and build data models to support a favorable ecosystem and business operations.
•Build data for entities such as live streaming/video, products, merchants, and creators, and develop large-scale network/feature sequence models for content understanding and multimodal representation.
•Contribute to building large-scale graph storage and graph learning platforms to improve relationship building and governance across the e-commerce community.
•Research and implement cutting-edge machine learning/graph learning/sequence learning technologies and support scalable, optimized model production.

Key Requirements

•Completing or recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Solid 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).
•Relevant industry experience with a solid theoretical foundation of machine learning.
•Ability to commit to an onboarding date by end of year 2026 and clearly state availability and graduation date in the resume.

Education:PhD / Doctorate

Skills:TeamworkCommunication

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn