{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Senior Interactive Vision Model Researcher 107810",
        "job_level": "高级",AI生成
        "work_category": "全职",AI生成
        "department": "IEG",
        "location": "新加坡",
        "work_mode": "未披露",AI生成
        "job_category": "技术"AI生成
    },
    "company": {
        "company_name": "腾讯",
        "company_industry": "互联网 / 科技 / 人工智能",
        "company_size": "10000人以上",
        "company_website": "tencent.com",
        "company_description": "腾讯是一家互联网和科技公司，业务覆盖通信与社交、数字内容、游戏、金融科技、企业服务、云计算与人工智能等方向。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": "",
        "degree": "未披露",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "Business Unit\nLIGHTSPEED 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.\n\nAbout the Hiring Team\nLightspeed 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.\n\nWhat the Role Entails\nDesign and iterate on the next-generation video generation foundation architecture.\nExplore core technologies for long video generation, including long-context attention, KV Cache compression, and memory mechanisms.\nResearch high-compression-ratio video tokenizers and advance unified modeling capabilities for multi-resolution and multi-frame-rate videos.\nLead video pre-training at large token scale, defining data mixture and curriculum learning strategies.\nExplore Scaling Laws, define scientific scale-up paths, and continuously improve key model capabilities.\nTrack industry state-of-the-art , lead comparative experiments, drive technical roadmap decisions, and publish academic papers.\n\nWho We Look For\nPh.D. in AI-related fields with first-author papers at top-tier conferences.\nProficient in the principles and engineering implementation of diffusion models and autoregressive generation.\nExperience training video/image generation models from scratch; highly proficient in PyTorch and large-scale distributed training.\nDeep understanding of the design trade-offs in Video VAE/Tokenizers, with 3+ years of relevant research experience.\nPublications related to video generation or diffusion models.\nExperience in core industry product R&D or hands-on experience with the latest technologies is preferred.\nExperience leading end-to-end video foundation model projects is preferred.\n\nEqual Employment Opportunity at Tencent\nAs 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.\r\nWork Location: Singapore-CapitaSky",
        "requirements_text": "岗位要求详情请见上方岗位职责内说明",
        "skills": [AI生成
            "PyTorch"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/Video-Generation-Foundation-Model-Researcher_R107810-1"
            }
        ]
    },
    "posting": {
        "posting_id": "2078016959420743680",
        "post_date": "2026-08-12",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/Video-Generation-Foundation-Model-Researcher_R107810-1"
    },
    "fulltext": "Senior Interactive Vision Model Researcher 107810\nBusiness Unit\nLIGHTSPEED 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.\n\nAbout the Hiring Team\nLightspeed 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.\n\nWhat the Role Entails\nDesign and iterate on the next-generation video generation foundation architecture.\nExplore core technologies for long video generation, including long-context attention, KV Cache compression, and memory mechanisms.\nResearch high-compression-ratio video tokenizers and advance unified modeling capabilities for multi-resolution and multi-frame-rate videos.\nLead video pre-training at large token scale, defining data mixture and curriculum learning strategies.\nExplore Scaling Laws, define scientific scale-up paths, and continuously improve key model capabilities.\nTrack industry state-of-the-art , lead comparative experiments, drive technical roadmap decisions, and publish academic papers.\n\nWho We Look For\nPh.D. in AI-related fields with first-author papers at top-tier conferences.\nProficient in the principles and engineering implementation of diffusion models and autoregressive generation.\nExperience training video/image generation models from scratch; highly proficient in PyTorch and large-scale distributed training.\nDeep understanding of the design trade-offs in Video VAE/Tokenizers, with 3+ years of relevant research experience.\nPublications related to video generation or diffusion models.\nExperience in core industry product R&D or hands-on experience with the latest technologies is preferred.\nExperience leading end-to-end video foundation model projects is preferred.\n\nEqual Employment Opportunity at Tencent\nAs 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.\r\nWork Location: Singapore-CapitaSky\n岗位要求详情请见上方岗位职责内说明",
    "standard_classification": {
        "std_category_code": "T010",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}