Machine Learning Engineer Intern, Data Trust & Safety (Australia) - 2026 Start

Written by the T&S Network from TikTok's posting.

Builds machine learning systems that remove harmful content on TikTok before it reaches the wider community. The Trust & Safety team invests in human and machine moderation, and this intern works on the models and classifiers behind content safety across TikTok's applications.

What you'd do

• Build content safety systems for TikTok's platform
• Develop scalable classifiers, tools, models and algorithms using machine learning, computer vision and data mining
• Improve trust and safety strategy and model performance against product objectives
• Coordinate with other teams to protect TikTok worldwide

What it asks for

• Current undergraduate, or postgraduate student pursuing a degree or master's in computer science or a related technical field
• Prior work on recommendation, search, advertising, or similar projects
• Published papers at top AI conferences or journals such as KDD, NeurIPS, CVPR or ACL (preferred)
• Prior placings in machine learning, data mining, CV or NLP competitions (preferred)
• Strong grasp of core algorithms and data structures (preferred)

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on TikToknorth_east before you apply. If we got something wrong, report this listing.