Senior Machine Learning Algorithm Engineer - TikTok

Responsibilities
Team Introduction: TikTok is an international short video platform covering 150 countries and regions. We hope to discover real and interesting moments through TikTok and make life better. TikTok has offices around the world, with global headquarters in Los Angeles and Singapore, and offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo. The TikTok R&D team aims to realize the R&D work of TikTok business and build and maintain industry-leading products. Join us, you will be exposed to core business scenarios including user growth, social networking, live broadcasting, e-commerce C-end, content creation, content consumption, etc., to support the rapid development of products in the global track you will also be exposed to technical challenges in service architecture, basic technology and other directions, to ensure that the business continues to serve users with high quality, high efficiency and security at the same time, you can provide comprehensive technical solutions for different business scenarios and optimize various product indicators and user experience. Here, there are big cows leading the team to explore the frontiers and break through the imagination space. Here, every line of your code will serve hundreds of millions of users. Here, the team is professional and pure, and the cooperative atmosphere is equal and relaxed. Currently, multiple job opportunities are open in Beijing, Shanghai, Hangzhou, Guangzhou and Shenzhen. 1. Analyze and understand large-scale structured and unstructured privacy data, use graph algorithms, multimodal algorithms and transfer learning, etc., to develop high-performance classifiers, prediction models and algorithms, and build knowledge graphs for privacy scenarios 2. Develop other related algorithm applications in the fields of privacy and security, including but not limited to multi-layer labeling, anomaly detection and compliance automation 3. Explore and apply cutting-edge machine learning technologies and apply them to scenarios focused on privacy and security.

Qualifications
1. Master degree or above in computer science, mathematics, physics, statistics and related majors, more than 5 years of experience in the algorithm field 2. Have a solid foundation in machine learning related algorithms, including but not limited to comprehensive learning and practical experience in specific fields such as graph models, multimodal machine learning, active learning, etc. 3. Have practical operation ability, proficient in at least one framework, such as TensorFlow or PyTorch, including the specific details of its training and deployment familiar with commonly used machine learning and deep learning algorithms, as well as basic network models. Structure and text representation methods 4. Excellent coding skills, proficiency in at least one programming language, such as Python, Go or C++, and a solid foundation in algorithms and data structures 5. Excellent teamwork and communication skills.

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