[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/) Tencent Holdings · London # Controllable Video Generation Researcher 107820 London Research & Science Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there. [Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2079542264975245312) [OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / Controllable Video Generation Researcher 107820 ## Job description ### Responsibilities 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 a multimodal controllable generation framework supporting various inputs such as keyboard, controller, trajectory, and voice. - Research high-fidelity generation under sparse control signals and 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, ensuring low-latency response and inter-frame state retention. - 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. Who We Look For - 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, with 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. 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. ### Work Location United Kingdom-London Requirements 岗位要求详情请见上方岗位职责内说明 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 12, 2026 - Last checked: Oct 19, 2026 - Listed for: 7 days - Location: London[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2079542264975245312) ## More jobs at Tencent Holdings ### [LLM & Agent Research Intern 108173](https://jobs.opennash.com/companies/tencent-holdings/jobs/fe51bd135e1586299909/) London ### [LLM Agent Research Intern 108250](https://jobs.opennash.com/companies/tencent-holdings/jobs/6415e948f56bef0d1139/) London ### [NLP Research Intern 106758](https://jobs.opennash.com/companies/tencent-holdings/jobs/c7e2ee8254d7fdffc79f/) London ### [Senior Interactive Vision Model Researcher 107513](https://jobs.opennash.com/companies/tencent-holdings/jobs/960f5154b22c1bce7142/) London ### [Senior Researcher, Large Language Models 107819](https://jobs.opennash.com/companies/tencent-holdings/jobs/4da79cdb167044d4a05b/) London ## Similar jobs at other companies ### [Senior Video Producer](https://jobs.opennash.com/companies/publicis-groupe/jobs/aa4b529d9623bdcd081b/) Publicis Groupe · London ### [Principal Researcher](https://jobs.opennash.com/companies/mediatek/jobs/9fa9444465e025a213c5/) MediaTek · London ### [Senior Researcher](https://jobs.opennash.com/companies/mediatek/jobs/6fa140b42b1536981b6c/) MediaTek · London ### [Postdoctoral Researcher, Experimental Data Generation & CRO Strategy](https://jobs.opennash.com/companies/microsoft/jobs/30bca0b08c136ad6ca67/) Microsoft · Germany, Berlin, United Kingdom, Cambridgeshire, Cambridge ### [Machine Learning Researcher, Image/ Video Generation](https://jobs.opennash.com/companies/apple/jobs/a04cd59138b2b45bc66b/) Apple · Singapore OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)