Machine Learning Engineer Intern, Trust and Safety Engineering - 2027 Start (PhD)

TikTok
Sydney
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: phdSkills: ["Cross-functional collaboration","Problem-solving","Attention to detail"]

Join the Trust & Safety team to build content safety systems that help protect TikTok’s global community. You’ll develop scalable classifiers, tools, models, and algorithms using machine learning, computer vision, and data mining, while aligning model performance with product objectives. Work cross-functionally to improve trust and safety strategy and protect users through real-world engineering challenges during the Dec 2026–Feb 2027 internship.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer Intern, Trust and Safety Engineering - 2027 Start (PhD)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Join the Trust & Safety team to build content safety systems that help protect TikTok’s global community. You’ll develop scalable classifiers, tools, models, and algorithms using machine learning, computer vision, and data mining, while aligning model performance with product objectives. Work cross-functionally to improve trust and safety strategy and protect users through real-world engineering challenges during the Dec 2026–Feb 2027 internship.
Location: Sydney
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Build content safety systems for TikTok.
  • •Develop highly-scalable classifiers, tools, models, and algorithms using machine learning, computer vision, and data mining.
  • •Improve trust and safety strategy and model performance by understanding product objectives.
  • •Collaborate with cross-functional teams to protect TikTok globally.

Key Requirements

  • •Currently pursuing a PhD in Computer Science, engineering, or a quantitative field.
  • •Solid experience in at least one of: machine learning, pattern recognition, NLP, data mining, or computer vision.
  • •Experience in recommendation, search, advertising, or other related projects.
  • •Published papers in top AI conferences or journals (e.g., KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL) is a plus.
  • •Competition experience in machine learning, data mining, CV, or NLP, plus a good understanding of data structures and algorithms.
Experience:Machine learningComputer visionNLPData miningResearch
Education:PhD / Doctorate in Computer Science, engineering or quantitative field
Skills:Cross-functional collaborationProblem-solvingAttention to detail
Tech Stack:Machine learningComputer visionData miningNLPClassifiersModelsAlgorithmsData structures

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
WebsiteLinkedIn