Responsibilities: LightSpeed Studios is one of the world's most innovative and successful game developers, with teams across China, the United States, Singapore, Canada, the United Kingdom, France, Japan, South Korea, New Zealand, and the United Arab Emirates.
We are expanding to more countries.
Founded in 2008, LightSpeed Studios has created over 50 games across multiple platforms and genres for over 4 billion registered users.
It is the co-developer of worldwide hits like PUBG MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version).
Responsibilities: Follow up on the latest developments of cutting-edge AI generative models and products domestically and abroad, capable of conducting market research and trend analysis on the technology products and applications in the AIGC field in a timely manner.
Responsible for the application and implementation of AIGC technology in the gaming field, assist in formulating reasonable and comprehensive application plans based on the understanding of the gaming business and the evaluation of various AIGC model capabilities, and plan strategic paths, coordinate resources, and ensure high-quality project implementation.
Assist in developing data and technical specifications for AIGC-related technology products in the gaming field, design scenario-based application plan design and display and operation plans.
Requirements: Bachelor's degree or above, major in computer science, software, artificial intelligence, or big data.
Love for the Internet and games.
Have a certain understanding of development, testing, operation, and design.
Possess a great passion for Internet products, a dream of creating the best Internet products, agile insight and thinking ability, and the courage and ability to turn ideas into reality to meet user needs.
Excellent creativity, imagination, logical thinking, system analysis skills, and outstanding text organization and communication skills.
Bonus Points: Understanding of AI technology is a plus: Familiarity with AI basic capabilities and mainstream algorithms, with at least a deep understanding of the technical principles, capability boundaries, and application scenarios of one AI capability.
AI application project experience is a plus: Experience in AI product application projects, including but not limited to intelligent customer service, intelligent dialogue, search recommendation, virtual people, and other fields.
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