Machine Learning Engineer Intern, Data Trust & Safety (Rolling Intake)

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

• Build industry-leading content safety systems for TikTok;
• Develop highly‑scalable classifiers, tools, models and algorithms leveraging cutting‑edge machine learning, computer vision and data mining technologies;
• Understand product objectives and improve trust and safety strategy and model's performance;
• 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.

Job Information

Trust & Safety

Content that this role interacts with includes images, video, and text related to every‑day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. Hence, it is possible that this role will be exposed to harmful content on a daily basis.

TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.