Job Description
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - **** Start
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Location: Sydney
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Employment Type: Regular
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Responsibilities
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Collaborate on research projects within the team or across countries
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Work with our world‐class engineers to build industry‐leading trust and safety systems for TikTok
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Develop and build up highly‐scalable classifiers, tools, models and algorithms leveraging cutting‐edge machine learning, computer vision and data mining technologies
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Improve our trust and safety strategy and work on model iterations
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Collaborate with cross‐functional teams to protect TikTok globally
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Present research outcomes to internal and/or external audiences
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Work with engineering teams to apply technical achievements from our research to product prototyping
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Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
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Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
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Minimum Qualifications
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Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
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Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision.
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Firm understanding of data structures and algorithms.
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Excellent communication and teamwork skills.
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Preferred Qualifications
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Passion about techniques and solving challenging problems.
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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[...] (New South Wales)
🏢 Tiktok
📍 New South Wales