Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2026 Start (PhD)

ByteDance
Singapore
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: phdSkills: ["Teamwork","Communication"]

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.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2026 Start (PhD)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 31 days agoStatus: Live
Reposted: similar role first listed 1 month ago

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
WebsiteLinkedIn