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

JobsCloseBy Editorial Insights

TikTok is seeking a Machine Learning Engineer Intern for Data Trust & Safety in Australia, starting in 2026, onsite in Sydney. You will build industry-leading content safety systems, develop scalable classifiers and models using machine learning, computer vision and data mining, and work with cross-functional teams to protect TikTok globally while improving model performance against product objectives. Minimum qualifications include pursuing a degree in computer science or a related technical discipline, solid experience in ML, pattern recognition, NLP, data mining or computer vision, and experience in recommendation, search or advertising. Preferred qualifications include published papers at top AI conferences, competition experience, strong data structures and algorithms, and a passion for solving challenging problems. Apply early, you may apply for up to two roles, tailor your resume to highlight relevant projects and impact, and review the privacy policy; for questions contact [email protected].

---

Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.

Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
1. Build industry-leading content safety systems for TikTok;
2. Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies;
3. Understand product objectives and improve trust and safety strategy and model's performance;
4. Work with cross-functional teams to protect TikTok globally.

Minimum Qualifications:
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in computer science or a related technical discipline;
- Solid experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
- Experience in recommendation, search, advertising, or other related projects;

Preferred Qualifications:
- Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc.;
- Competition experience in machine learning, data mining, CV, NLP, etc.;
- Good understanding of data structures and algorithms;
- Passion for techniques and solving challenging problems.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].