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 creative 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.
Excellent 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.
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📌 Phd Graduate Machine Learning Engineer Graduate, Trust And Safety Engineering 2026 Start Sydn City Of Sydney
🏢 Tiktok
📍 City of Sydney