Machine Learning Engineer Intern (Trust & Safety) - 2026 Start (PhD)

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.

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.

Successful candidates must be able to commit to at least 3 months long internship period.

Successful candidates must be able to commit to either of the following Internships

• From January to June
• From May to August (Summer)

Qualifications

Minimum Qualifications

• Currently pursuing a PhD in Computer Science, engineering or quantitative field;
• Solid experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision;

Preferred Qualifications

• Experience in recommendation, search, advertising, or other related projects;
• 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]