Video Generation Content Understanding and Feedback Researcher

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

Job summary

Tencent Lightspeed Tech Center in Singapore seeks a highly qualified AI researcher to advance video understanding and generation for interactive game experiences. The candidate will explore unified architectures, causal consistency, and low-latency feedback while collaborating with RL teams to close the loop between generation and control.

The role emphasizes strong engineering skills, publications, and experience with game AI and simulation environments.

Qualifications

• PhD in AI-related fields including video understanding/generation, or reinforcement learning.
• Deep understanding of internal mechanisms of video generation and VLM models; diffusion model principles.
• Research experience in interactive or controllable video generation.
• Ability to design complex model training pipelines with strong engineering skills.
• Proficient in Python/PyTorch with publications in relevant areas.
• Experience with Game AI, simulation environments, or closed-loop systems preferred.
• Publications in top-tier conferences or journals preferred.

Responsibilities

• Research the model’s ability to understand generated content, parsing semantics, objects, relationships, and spatial structures.
• Implement state tracking and consistency modeling for generated videos.
• Explore unified generation-understanding model architectures.
• Research causal consistency control and physical constraints for action input video output pipeline.
• Research hybrid architectures to achieve low-latency feedback for real-time interactive generation.
• Collaborate with Agent/RL teams to drive an end-to-end closed loop of generation understanding control feedback.
• Validate controllable interactive capabilities in game scenarios and lead evaluation systems.
• Continuously track industry-related work and formulate proprietary technical roadmaps.

Skills

PhD in AI

Video understanding

Video generation

Reinforcement learning

Multimodal generation

Publications

Game AI

Simulation environments

Closed-loop systems

Engineering skills

Python

PyTorch

Education

PhD in AI

Tools

Python

PyTorch

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

• Research the model’s ability to understand generated content, parsing semantics, objects, relationships, and spatial structures.
• Implement state tracking and consistency modeling for generated videos.
• Explore “unified generation-understanding” model architectures.
• Research causal consistency control and physical constraints for the “action input video output” pipeline.
• Research hybrid architectures to achieve low-latency feedback for real-time interactive generation.
• Collaborate with Agent/RL teams to drive an end-to-end closed loop of “generation understanding control feedback.”
• Validate controllable interactive capabilities in game scenarios and lead the establishment of evaluation systems.
• Continuously track industry-related work and formulate proprietary technical roadmaps.

Who We Look For

• Ph.D. in AI-related fields, covering areas such as video understanding, video prediction, reinforcement learning, or multimodal generation and understanding.
• Deep understanding of the internal mechanisms of both video generation and VLM models; familiar with diffusion model principles.
• Research experience in interactive video generation or controllable video generation.
• Ability to independently design complex model training pipelines with strong engineering skills.
• Proficient in Python/PyTorch, with publications in video understanding, controllable generation, or reinforcement learning.
• Experience with Game AI, simulation environments, or closed-loop systems is preferred.
• Relevant publications in top-tier conferences or journals are 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.