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 and you will be exposed to core business scenarios including user growth, social networking, live broadcasting, e-commerce C-end, content creation, content consumption, etc., supporting the rapid development of products on the global track you will also be exposed to technical challenges in service architecture, basic technology and other directions, ensuring that the business continues to serve users with high quality, high efficiency, and security at the same time, it 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 continuously explore the frontier 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. Participate in the research and development of NLP/CV basic algorithms in TikTok business, deeply understand the business, solve and follow up front-line business problems 2. Work closely with product and operation teams to continuously iterate and optimize algorithm effects in business directions such as hotspot mining and local life to achieve business goals 3. Combined with business scenario challenges, track research results in cutting-edge fields, and promote the in-depth application of technological innovation in business scenarios, including but not limited to algorithm fields such as hotspot discovery/information extraction and structuring/multimodal/large model/text generation/retrieval and relevance.
Qualifications
1. Have a solid foundation in machine learning and mathematical skills, and have a background in NLP/CV/multimodal/large model, etc., have the ability to independently tackle and solve practical problems, and have experience in large-scale scene practical application is preferred 2. Familiar with mainstream text/visual pre-training models, and have at least worked on (hotspot discovery/information extraction and structuring/multimodal/large model/text generation/retrieval and relevance) any of which Direction of algorithm model development and implementation business proficient in using mainstream machine learning frameworks and model training frameworks 3. Have strong technical curiosity, self-drive and enterprising spirit, and be able to pay attention to and learn industry best practices in a timely manner have strong modeling capabilities from business problems to algorithm models, strong sense of cooperation, good at cross-team communication and promote the solution of practical problems.
