{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Text To Speech (TTS) Algorithm Engineer（J93901）",
        "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": "",
        "degree": "-Master's degree or above",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "-Responsible for Text To Speech model and performance optimization\n-Participate in the development of a large-scale Text To Speech model, including but not limited to optimizing the model structure, pre training ICL, fine-tuning SFT, and other related tasks\n-Follow up on cutting-edge technologies related to voice communication\n-Participated in the implementation of speech synthesis technology projects for multiple Baidu overseas products",
        "requirements_text": "-Master's degree or above, major in computer related field, with experience in speech/signal processing related projects\n-More than one year of work experience in the field of speech synthesis\n-Familiar with Linux and Python, proficient in using deep learning frameworks such as PyTorch\n-Good communication, enthusiastic about technology, diligent in learning, positive and proactive\n-Bonus points: Published papers in top conferences or journals such as Interspeech and ICASSP, and won awards in speech competitions",
        "skills": [AI生成
            "Python",
            "Linux",
            "PyTorch",
            "深度学习"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://talent.baidu.com/jobs/detail/SOCIAL/78a03fd7-704d-41a0-bc96-11de8c4ab7cc"
            }
        ]
    },
    "posting": {
        "posting_id": "78a03fd7-704d-41a0-bc96-11de8c4ab7cc",
        "post_date": "2026-04-03",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://talent.baidu.com/jobs/detail/SOCIAL/78a03fd7-704d-41a0-bc96-11de8c4ab7cc"
    },
    "fulltext": "Text To Speech (TTS) Algorithm Engineer（J93901）\nText To Speech (TTS) Algorithm Engineer（J93901）\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-Responsible for Text To Speech model and performance optimization\n-Participate in the development of a large-scale Text To Speech model, including but not limited to optimizing the model structure, pre training ICL, fine-tuning SFT, and other related tasks\n-Follow up on cutting-edge technologies related to voice communication\n-Participated in the implementation of speech synthesis technology projects for multiple Baidu overseas products\n\n职责要求\n-Master's degree or above, major in computer related field, with experience in speech/signal processing related projects\n-More than one year of work experience in the field of speech synthesis\n-Familiar with Linux and Python, proficient in using deep learning frameworks such as PyTorch\n-Good communication, enthusiastic about technology, diligent in learning, positive and proactive\n-Bonus points: Published papers in top conferences or journals such as Interspeech and ICASSP, and won awards in speech competitions\n-Responsible for Text To Speech model and performance optimization\n-Participate in the development of a large-scale Text To Speech model, including but not limited to optimizing the model structure, pre training ICL, fine-tuning SFT, and other related tasks\n-Follow up on cutting-edge technologies related to voice communication\n-Participated in the implementation of speech synthesis technology projects for multiple Baidu overseas products\n-Master's degree or above, major in computer related field, with experience in speech/signal processing related projects\n-More than one year of work experience in the field of speech synthesis\n-Familiar with Linux and Python, proficient in using deep learning frameworks such as PyTorch\n-Good communication, enthusiastic about technology, diligent in learning, positive and proactive\n-Bonus points: Published papers in top conferences or journals such as Interspeech and ICASSP, and won awards in speech competitions",
    "standard_classification": {
        "std_category_code": "T035",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}