Business Unit
LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.
About the Hiring Team
Lightspeed Tech Center is a R&D department under Lightspeed Studios which develops PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.
What the Role Entails
Lightspeed Tech Center is a R&D department under Lightspeed Studios which develops PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.
•Design and iterate on the next-generation video generation foundation architecture.
•Explore core technologies for long video generation, including long-context attention, KV Cache compression, and memory mechanisms.
•Research high-compression-ratio video tokenizers and advance unified modeling capabilities for multi-resolution and multi-frame-rate videos.
•Lead video pre-training at large token scale, defining data mixture and curriculum learning strategies.
•Explore Scaling Laws, define scientific scale-up paths, and continuously improve key model capabilities.
•Track industry state-of-the-art, lead comparative experiments, drive technical roadmap decisions, and publish academic papers.
Who We Look For
•Currently pursuing Ph.D. in AI-related fields with first-author papers at top-tier conferences.
•Proficient in the principles and engineering implementation of diffusion models and autoregressive generation.
•Experience training video/image generation models from scratch; highly proficient in PyTorch and large-scale distributed training.
•Deep understanding of the design trade-offs in Video VAE/Tokenizers, with 3+ years of relevant research experience.
•Publications related to video generation or diffusion models.
•Experience in core industry product R&D or hands-on experience with the latest technologies is preferred.
•Experience leading end-to-end video foundation model projects is preferred.
