- Collaborate on research projects within the team or across countries
- Work with our world‑class engineers to build industry‑leading trust and safety systems for TikTok
- Develop and build up 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
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping
- Develop and implement creative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Minimum Qualifications
- Currently pursuing your PhD or Master degree in Computer Science or 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.
- Great 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.
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📌 PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start Sydn[...] (City of Sydney)
🏢 Tiktok
📍 City of Sydney
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