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 live broadcast R&D team aims to realize the research and development of TikTok live broadcast business and build and maintain industry-leading products. By joining us, you will be exposed to core business scenarios including: social interaction, revenue activities, anchor ecology, consumer subscriptions, game live broadcasts, guilds & operation platforms, etc., to support the rapid development of products on the global track you will also be exposed to technical challenges including service architecture, large model algorithms, basic technologies, etc. to ensure that the business continues to serve users with high quality, efficiency, and security 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. Develop large models in the field of live broadcast and apply them to the following live broadcast scenarios, including live broadcast content classification, core theme identification, comment sentiment analysis, live broadcast slice summary, live content summary, live broadcast market attribution, operation efficiency improvement, operation activity effect analysis, operation configuration automation, etc. 2. Explore large model training methods, analyze model indicators, summarize training rules, improve training effects, and enable it to have excellent content understanding capabilities 3. Explore efficient Fine-Tuning technology and inference technology for large models to ensure rapid adaptation and efficient use of large models in business scenarios 4. Track the industry development of large models, especially the latest developments in the field of LLM, and propose technical solutions for live broadcast scenarios.
Qualifications
1. Master solid basic knowledge of computer science and have excellent programming skills 2. Master solid machine learning knowledge and have relevant experience in CV/NLP and other fields 3. Excellent problem analysis and solution 4. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress 5. In the field of large models, those with experience in large model pre-training will be given priority, and those who have led influential projects or papers will be given priority.
