Build industry-leading content safety systems for TikTok; Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies; Understand product objectives and improve trust and safety strategy and model's performance; Work with cross-functional teams to protect TikTok globally
Requirements:
Major in computer science or a related technical discipline; At least 3 years of experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision; Experience in the recommendation, search, advertising, or other related projects; Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc
Text:
Machine Learning Engineer - Trust and Safety Platform Build industry-leading content safety systems for TikTok; Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies; Understand product objectives and improve trust and safety strategy and model's performance; Work with cross-functional teams to protect TikTok globally Major in computer science or a related technical discipline; At least 3 years of experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision; Experience in the recommendation, search, advertising, or other related projects; Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc
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