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PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start Sydn ...

TikTokSydney, New South Wales🇦🇺AustraliaPosted 15 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Entry Level

Job Description

PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

Location: Sydney

Employment Type: Regular

Responsibilities
  • Collaborate on research projects within the team or across countries
  • Work with our world class engineers to build industry leading trust and safety systems for TikTok
  • Develop and build up highly scalable classifiers, tools, models and algorithms leveraging cutting edge machine learning, computer vision and data mining technologies
  • Improve our trust and safety strategy and work on model iterations
  • Collaborate with cross functional teams to protect TikTok globally
  • Present research outcomes to internal and/or external audiences
  • Work with engineering teams to apply technical achievements from our research to product prototyping
  • Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
  • Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Minimum Qualifications
  • Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
  • Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision.
  • Firm understanding of data structures and algorithms.
  • Great communication and teamwork skills.
Preferred Qualifications
  • Passion about techniques and solving challenging problems.
  • Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision.

Skills

Machine Learning
NLP
Computer Vision

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