Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

Location: Sydney

Employment Type: Regular

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. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.

Responsibilities

• Work with our world class engineers to build industry leading trust and safety systems for TikTok.
• Develop and build highly scalable classifiers, tools, models and algorithms leveraging cutting edge machine learning, computer vision and data mining technologies.
• Improve our trust and safety strategy and work on model iterations.
• Collaborate with cross functional teams to protect TikTok globally.

Qualifications

Minimum Qualifications:

• Currently pursuing your bachelor's or completed within 1 year; Computer Science or a related engineering field.
• Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision.
• Firm understanding of data structures and algorithms.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Passion about techniques and solving challenging problems.
• Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision.
• Currently pursuing a PhD or Master's degree in Computer Science or a related engineering field.

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