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 also provide comprehensive technical solutions for different business scenarios, 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 positions are open in Beijing, Shanghai, Hangzhou, Guangzhou and Shenzhen. 1. Lead the development of NLP algorithms, analyze and understand a large amount of text and non-text information in data scenarios develop high-performance prediction models and algorithms for knowledge graph construction, text classification and intelligent dialogue 2. Develop other related algorithm applications in the field of privacy, which includes but is 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 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 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 and... Degree 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 ability.
