Video Generation Foundation Model Researcher

LIGHTSPEED STUDIOS; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

LIGHTSPEED STUDIOS is seeking a PhD-level researcher to advance video generation foundations. You will design architecture, study long-context attention, and optimize memory mechanisms for high-quality, scalable video synthesis.

Responsibilities include leading pre-training at large scale, exploring tokenizers, and driving scientific roadmap decisions while publishing results in top conferences. Experience with distributed training and multi-resolution models is preferred.

Qualifications

• 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 leading end-to-end video foundation model projects is preferred.

Responsibilities

• 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.

Skills

PyTorch

Diffusion models

Autoregressive generation

Distributed training

Video generation

Education

Ph.D. in AI-related field

Tools

High-performance GPUs

Job description

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 develop 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

• 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

• 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.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.