Large Language Model Algorithm Engineer

Position Overview

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 to help unlock the true potential of their games. Location: California. Salary: $124,800.0 to $260,400.0 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment, relocation package, and restricted stock units may be provided as part of the Compensation: package, as well as other medical, financial, and/or other Benefits:.

Key Responsibilities

• 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.
• Establish and improve the theoretical and engineering systems for large language models in games, exploring the application of LLM technology in game AI scenarios, and providing intelligent model capabilities for game operations and NPC interaction experiences.
• Track and explore cutting-edge technologies and applications of large language models.

Required Qualifications

• More than 5 years of research and work experience in the NLP field, with a background in computer science or related fields.
• Familiarity with the theoretical foundations of NLP, mastery of statistical models and machine learning principles, with hands-on NLP experience and participation in related projects.
• Understanding of the principles and training methods of leading industry LLMs (such as the GPT series, DeepSeek, LLaMA series, etc.).
• Experience in fine-tuning large models, with familiarity in distributed training and debugging of large models preferred.
• Experience in text generation, dialogue systems, and game AI is preferred.
• Academic achievements in top NLP conferences or journals are a plus.

Preferred Qualifications

• Experience in the gaming industry.
• Experience with large models.

Benefits & Perks

• As part of the compensation package, additional Benefits: such as sign-on payment, relocation package, restricted stock units, and various medical and financial benefits may be offered.
• Equal opportunity employer fostering a diverse and inclusive work environment.