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 Live R&D team aims to realize the R&D work of TikTok's live broadcast business and build and maintain industry-leading products. Join us and you will be exposed to core business scenarios including social interaction, revenue activities, anchor ecology, consumer subscription, game live broadcast, guild & operation platform, etc., to support the rapid development of products on the global track you will also be exposed to technical challenges in service architecture, large model algorithms, basic technologies, etc., to ensure 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, and 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. Develop a large model in the field of live broadcasting and apply it to the following live broadcasting scenarios, including live broadcasting content classification, core theme identification, comment sentiment analysis, live broadcasting slice summary, live broadcasting content summary, live broadcasting 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 them to have excellent content understanding capabilities 3. Explore efficient Fine-Tuning technology and reasoning technology for large models to ensure fast adaptation and efficient call of large models in business scenarios 4. Track the industry development of large models, especially the latest progress in the field of LLM, and propose technical solutions for live broadcasting scenarios.
Qualifications
1. Master solid basic knowledge of computer science and have excellent programming skills 2. Master solid knowledge of machine learning and have relevant experience in fields such as CV/NLP 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 are preferred, and those who have led influential projects or papers are preferred.
