Job Description

Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.

Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.

Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.

Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

Job Responsibilities:

1. Responsible for building LLMs for the gaming field, including pre-training, instruction fine-tuning, post-training, training and inference acceleration, evaluation, and more, to maintain a leading position in the industry;

2. Establish and improve the theoretical and engineering systems for large language models in games, exploring the application of LLM technology in game AI scenarios, providing intelligent model capabilities for game operations, NPC interaction experiences, and other aspects;

3. Track and explore the cutting-edge technologies and applications of large language models.

Job Requirements:

1. More than 5 years of research and work experience in the NLP field, with a background in computer science or related fields;

2. Familiar with the theoretical foundations of NLP, mastering statistical models and machine learning principles, with hands-on NLP experience and participation in related projects;

3. Familiar with the principles and training methods of leading industry LLMs (such as the GPT series, DeepSeek, LLaMA series, etc.);

4. Experience in fine-tuning large models, with familiarity in distributed training and debugging of large models preferred;

5. Experience in text generation, dialogue systems, and game AI preferred;

6. Academic achievements in top NLP conferences or journals preferred.

Bonus Points:

1. Experience in the gaming industry;

2. Experience with large models.

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