{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Computer Vision Engineer -- AIGC（J93904）",
        "job_level": "未披露",AI生成
        "work_category": "全职",AI生成
        "department": "MEG",
        "location": "新加坡",
        "work_mode": "未披露",AI生成
        "job_category": "技术"AI生成
    },
    "company": {
        "company_name": "百度",
        "company_industry": "互联网 / 人工智能",
        "company_size": "10000人以上",
        "company_website": "baidu.com",
        "company_description": "百度围绕搜索发展人工智能技术，业务涉及语音、图像、知识图谱、自然语言处理、自动驾驶和AI芯片。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": 2,
        "degree": "-Master's degree or above in computer vision",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "-Perform research and development of computer vision technologies, with an emphasis on the training, fine-tuning of vision generative models and large multimodal models\n-Apply state-of-the-art AIGC technologies to improve the products of the Baidu's Global Business Unit\n-Collaborate with cross-functional teams to solve practical business challenges, ensuring continuous product evolution and maintaining market leadership through innovation\n-Summarize and compile technical documents, patents, and papers",
        "requirements_text": "-Master's degree or above in computer vision, natural language processing, deep learning, or relevant technical field, with over 2 years of work experience\n-Experience with Python or other related language. Experience with deep learning frameworks such as Pytorch or Tensorflow\n-Experience with generative models such as Diffusion models, multimodal models, etc\n-Experience with using deep learning technologies to solve practical problems, curious about new technologies, eager to tackle challenging problems, and adept at proposing solutions and quickly validating them\n-Proven track record of achieving notable technical results is preferred. This includes having first-authored publications in leading conferences (such as CVPR, ICCV, ECCV, NeurIPS, ICLR), achievements in coding competitions (e.g., ACM), or making widely used contributions in open source repositories",
        "skills": [AI生成
            "Python",
            "PyTorch",
            "TensorFlow",
            "深度学习",
            "计算机视觉"
        ],
        "preferred_qualifications": "Proven track record of achieving notable technical results is preferred. This includes having first-authored publications in leading conferences (such as CVPR, ICCV, ECCV, NeurIPS, ICLR), achievements in coding competitions (e.g., ACM), or making widely used contributions in open source repositories",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://talent.baidu.com/jobs/detail/SOCIAL/f870c693-0035-4559-bace-0b7db2048f78"
            }
        ]
    },
    "posting": {
        "posting_id": "f870c693-0035-4559-bace-0b7db2048f78",
        "post_date": "2025-09-22",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://talent.baidu.com/jobs/detail/SOCIAL/f870c693-0035-4559-bace-0b7db2048f78"
    },
    "fulltext": "Computer Vision Engineer -- AIGC（J93904）\nComputer Vision Engineer -- AIGC（J93904）\n\n基础信息\n部门：MEG\n地点：新加坡\n类别：技术\n招聘人数：2\n发布时间：2026-07-21\n\n工作职责\n-Perform research and development of computer vision technologies, with an emphasis on the training, fine-tuning of vision generative models and large multimodal models\n-Apply state-of-the-art AIGC technologies to improve the products of the Baidu's Global Business Unit\n-Collaborate with cross-functional teams to solve practical business challenges, ensuring continuous product evolution and maintaining market leadership through innovation\n-Summarize and compile technical documents, patents, and papers\n\n职责要求\n-Master's degree or above in computer vision, natural language processing, deep learning, or relevant technical field, with over 2 years of work experience\n-Experience with Python or other related language. Experience with deep learning frameworks such as Pytorch or Tensorflow\n-Experience with generative models such as Diffusion models, multimodal models, etc\n-Experience with using deep learning technologies to solve practical problems, curious about new technologies, eager to tackle challenging problems, and adept at proposing solutions and quickly validating them\n-Proven track record of achieving notable technical results is preferred. This includes having first-authored publications in leading conferences (such as CVPR, ICCV, ECCV, NeurIPS, ICLR), achievements in coding competitions (e.g., ACM), or making widely used contributions in open source repositories\n-Perform research and development of computer vision technologies, with an emphasis on the training, fine-tuning of vision generative models and large multimodal models\n-Apply state-of-the-art AIGC technologies to improve the products of the Baidu's Global Business Unit\n-Collaborate with cross-functional teams to solve practical business challenges, ensuring continuous product evolution and maintaining market leadership through innovation\n-Summarize and compile technical documents, patents, and papers\n-Master's degree or above in computer vision, natural language processing, deep learning, or relevant technical field, with over 2 years of work experience\n-Experience with Python or other related language. Experience with deep learning frameworks such as Pytorch or Tensorflow\n-Experience with generative models such as Diffusion models, multimodal models, etc\n-Experience with using deep learning technologies to solve practical problems, curious about new technologies, eager to tackle challenging problems, and adept at proposing solutions and quickly validating them\n-Proven track record of achieving notable technical results is preferred. This includes having first-authored publications in leading conferences (such as CVPR, ICCV, ECCV, NeurIPS, ICLR), achievements in coding competitions (e.g., ACM), or making widely used contributions in open source repositories",
    "standard_classification": {
        "std_category_code": "T010",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}