Salary:50-70K · 13 Salary
Experience requirements:In school/Fresh graduates
Educational requirements:PhD
Job Description:
Targeting: The 24th campus recruitment (graduating from November 2023 to October 2024), and also recruiting the 25th cohort of doctoral interns
【 Kunlun Wanwei Introduction 】
Kunlun Wanwei is China's leading Internet platform offshore enterprise. Its business covers many fields, including AIGC, information distribution, social networking, entertainment, metauniverse, and games. Its three business segments include AGI and AIGC, overseas information distribution and metauniverse, and investment. Its market covers five continents and 70 countries and regions. The global average monthly active users are nearly 400 million, with a revenue of 4.74 billion yuan achieved in 2022. Kunlun Wanwei was listed on the ChiNext board in 2015
Kunlun Wanwei has been developing Chinese pre training big models since 2020. In 2021, the company has released a 14 billion parameter Chinese pre training big model internally. At the end of 2021, research on music generation was carried out. On December 15, 2022, the open-source Chinese pre training big model was released. On April 17, 2023, the first domestically produced big language model in China to truly achieve intelligent emergence, "Tiangong" 3.5, was released and started internal testing. On August 23, 2023, the first search engine in China to integrate big language models, Tiangong AI Search, was launched
At present, Tiangong Intelligence has six major AI business matrices, including AI big models, AI search, AI games, AI music, AI comics, and AI social networking. On November 3, 2023, Kunlun Wanwei's "Tiangong" large model was registered through the "Interim Measures for the Management of Generative Artificial Intelligence Services" and opened up to the whole society for services
Job requirements:
1. Insight into cutting-edge technology research and trends in AIGC/AGI, introducing and designing industry-leading technologies and solutions, and building sustained competitiveness
2. PhD holders in computer science, software, machine learning, artificial intelligence, automation, mathematics, statistics, or related fields
3. Experience in natural language processing, pre training, multimodal learning, reinforcement learning, alignment, intelligent dialogue and question answering, long text, high-performance computing, distributed architecture, etc. is preferred
4. Passionate about generative language models and AGI, passionate about challenges and exploring unknown fields
5. Good communication skills and cross team collaboration abilities
6. Systematic scientific research achievements, with priority given to those who have published papers in international authoritative journals/top conferences (such as CVPR, ECCV, ICCV, ACL, EMNLP, ICML, NeurIPS, IJCAI, AAAI, ICLR, KDD, SIGIR, etc.)
7. Strong hands-on and programming skills, with priority given to those who have achieved excellent results in top international or domestic competitions (such as ACM/CodeForce/CodeJam/ICPC, etc.)