- 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[...]
🏢 Tiktok
📍 City of Sydney
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