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 to make life better. TikTok has offices around the world, with global headquarters in Los Angeles and Singapore, as well as offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo. The TikTok R&D team aims to implement the research and development of TikTok business and build and maintain industry-leading products. By joining us, you can be exposed to core business scenarios including user growth, social networking, live broadcasting, e-commerce C-side, content creation, content consumption and other core business scenarios, supporting the rapid development of products on the global track you can also be exposed to technical challenges including service architecture, basic technology and other directions to ensure that the business continues to serve users with high quality, efficiency and safety at the same time, we can also provide comprehensive technical solutions for different business scenarios, optimizing various product indicators and user experience. Here, there are experts leading the team to continuously explore the frontier and break through the imagination space with everyone. 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. Lead the development of NLP algorithms to analyze and understand a large amount of text and non-text information in data scenarios develop high-performance prediction models and algorithms for areas such as knowledge graph construction, text classification, and intelligent dialogue 2. Develop other related algorithm applications in the field of privacy, including but not limited to the development of content generation, reasoning, and code generation 3. Explore cutting-edge technologies related to NLP and apply them to scenarios focused on privacy security.
Qualifications
1. Master degree or above, majoring in computer, mathematics, physics, statistics, and more than 5 years of working experience in related fields 2. Have a solid foundation in natural language processing algorithms including but not limited to: comprehensive learning and practical experience in specific fields such as text classification, similarity matching, dialogue question and answer, machine translation, knowledge graph construction, intent understanding, sentiment analysis, etc. 3. Proficient in at least one deep learning framework, such as TensorFlow or PyTorch, including the specific details of its training and deployment familiar with commonly used machine learning methods. and deep learning algorithms, as well as basic network model structures 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 communication skills and teamwork capabilities.
