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

TikTok Inc.; Sydney; On-site; AUD 34,000 - 48,000; Full time

Job summary

TikTok is seeking a Machine Learning Engineer Intern for its Data Trust & Safety team in Australia. The role focuses on building content safety systems, scalable ML models, and cross-functional collaboration to protect the platform globally. This internship provides hands-on experience with state‑of‑the‑art ML and data mining within a safety-driven product environment.

Qualifications

• Minimum Qualifications: Undergraduate, or Postgraduate pursuing a degree in computer science or a related technical discipline.
• 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.

Responsibilities

• Build industry-leading content safety systems for TikTok.
• Develop scalable classifiers, tools, models and algorithms using ML, CV and data mining.
• Understand product objectives and improve trust and safety strategy and model performance.
• Collaborate with cross-functional teams to protect TikTok globally.

Skills

Machine learning

Pattern recognition

NLP

Data mining

Computer vision

Recommendation systems

Search

Advertising

Education

CS degree (undergrad or masters)

Job description

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

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.

Responsibilities

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.

Qualifications

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 ***************@tiktok.com.