Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good.

We are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.

Level Infinite is a global gaming brand dedicated to delivering high-quality and engaging interactive entertainment experiences to a worldwide audience, wherever and however they choose to play. It operates from bases in Amsterdam and Singapore with staff around the world.

The role

  • Responsible for work related to multilingual large model pre-training, including but not limited to: large-scale multilingual model pre-training, Prompt pre-training.
  • Explore and follow up on cutting-edge technology, seek technological breakthroughs, and promote the enhancement and breakthrough of machine capabilities in AIGC.
  • Explore efficient model knowledge embedding methods and model knowledge online learning updates.
  • Explore prompt engineering and fully tap into large model knowledge.


  • Proficient in Python, familiar with Linux environment development, proficient in using deep learning frameworks such as TensorFlow or PyTorch.
  • Continuously follow up on cutting-edge deep learning technologies, understand cutting-edge deep learning-related algorithms, and familiar with models such as Transformer.
  • Possess the ability to analyze, define, and solve problems, with continuous self-drive to face challenges.
  • Preference will be given to those with practical experience in large-scale model pre-training or strong research ability who have published high-quality papers in top-tier conferences in the field of machine learning.