Controllable Video Generation Researcher

Posted July 19, 2026

About this opportunity

Opportunity Overview

Tencent is hiring a Controllable Video Generation Researcher to design a multimodal controllable generation framework. The researcher will work on high-fidelity generation under sparse control signals and explore the extension of conditional control paradigms in the video domain. The goal is to achieve the decoupling and combination of trajectory control, camera control, motion control, and posture control. The researcher will also develop video generation capabilities for multi-player collaborative control. The ideal candidate will have a Ph.D. in AI-related fields, focusing on Computer Vision/Deep Learning, and be proficient in conditional generation models and multi-player/multi-channel control technologies. The researcher will collaborate with the Engine/Agent teams to define standardized interfaces for controllable signals and drive the joint optimization of controllable generation and Reinforcement Learning post-training. Tencent values diversity and believes that diverse voices fuel innovation, allowing the company to better serve its users and the community. The company fosters an environment where every employee feels supported and inspired to achieve individual and common goals.

Responsibilities

Design a multimodal controllable generation framework supporting various inputs such as keyboard, controller, trajectory, and voice
Research high-fidelity generation under sparse control signals
Explore the extension of conditional control paradigms in the video domain
Achieve the decoupling and combination of trajectory control, camera control, motion control, and posture control
Design dedicated control modules tailored to different game genres
Develop video generation capabilities for multi-player collaborative control
Collaborate with the Engine/Agent teams to define standardized interfaces for controllable signals
Drive the joint optimization of controllable generation and Reinforcement Learning post-training

Requirements & Qualifications

Ph.D. in AI-related fields, focusing on Computer Vision/Deep Learning
Proficient in conditional generation models and multi-player/multi-channel control technologies
Familiar with the principles of diffusion models
Project experience in camera control, trajectory control, or posture control
Understanding of game engine input/output logic and frame synchronization mechanisms
Proficient in Python/PyTorch
Publications in controllable video generation or conditional generation
Experience in Game AI or game development is preferred
Experience in real-time/interactive video generation projects is preferred

How to Apply

Review the job description and requirements to ensure you are a good fit for the role.
Prepare your application materials, including your resume and any relevant publications or project experience.
Click the Apply button below to submit your application.

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