Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)

Location: Sydney

Employment Type: Regular

Job Code: A61654

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:
Individuals who are completing or have recently completed a Bachelor’s/Master’s degree in Software Development, Computer Science, Computer Engineering,



or a related technical discipline.
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 your PhD or Master degree in Computer Science or related engineering field.
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📌 Machine Learning Engineer Graduate Trust And Safety Engineering 2027 Start Bs/ms Sydney T (Australia)
🏢 Tiktok
📍 Australia