{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Senior Researcher, Natural Language Processing",
        "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": "算法/研究"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": "Responsible for NLP research and development including Chinese word segmentation, part-of-speech tagging, sentence analysis, and named entity recognition.\nResponsible for text classification, sentiment analysis, data mining, text generation, topic analysis, label extraction, and other research and development job.\nOptimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data.\nExplore applications of NLP techniques and deep learning algorithms in games.\nFollow the latest developments in academia and industry and quickly apply findings in your work.\r\nWork Location: Singapore-CapitaSpring",
        "requirements_text": "Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects.\nProficient in at least one programming language, familiar with basic data structures and algorithms.\nExperience in big data mining, knowledge-graph auto-making, and deep learning experience is preferred.\nFamiliar with word segmentation, part-of-speech tagging, entity recognition, sentence analysis, model pre-training. Experience in sentiment analysis, relationship extraction, and event extraction is preferred.\nPublication of academic results in academic journals and conferences in NLP-related fields (such as: EMNLP, ACL) is preferred.\nFamiliar with CRF, SVM, and other classic machine learning algorithms and tools, word vectors, RNN, CNN, LSTM, GAN, and other deep learning experiences are preferred.",
        "skills": [AI生成
            "机器学习",
            "深度学习",
            "自然语言处理"
        ],
        "preferred_qualifications": "Experience in big data mining, knowledge-graph auto-making, and deep learning experience is preferred.；Familiar with word segmentation, part-of-speech tagging, entity recognition, sentence analysis, model pre-training. Experience in sentiment analysis, relationship extraction, and event extraction is preferred.；Publication of academic results in academic journals and conferences in NLP-related fields (such as: EMNLP, ACL) is preferred.；Familiar with CRF, SVM, and other classic machine learning algorithms and tools, word vectors, RNN, CNN, LSTM, GAN, and other deep learning experiences are preferred.",
        "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-CapitaSpring/Senior-Researcher--Natural-Language-Processing_R104225"
            }
        ]
    },
    "posting": {
        "posting_id": "1839308966304178176",
        "post_date": "2024-09-26",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https:////tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSpring/Senior-Researcher--Natural-Language-Processing_R104225"
    },
    "fulltext": "Senior Researcher, Natural Language Processing\nResponsible for NLP research and development including Chinese word segmentation, part-of-speech tagging, sentence analysis, and named entity recognition.\nResponsible for text classification, sentiment analysis, data mining, text generation, topic analysis, label extraction, and other research and development job.\nOptimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data.\nExplore applications of NLP techniques and deep learning algorithms in games.\nFollow the latest developments in academia and industry and quickly apply findings in your work.\r\nWork Location: Singapore-CapitaSpring\nFamiliar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects.\nProficient in at least one programming language, familiar with basic data structures and algorithms.\nExperience in big data mining, knowledge-graph auto-making, and deep learning experience is preferred.\nFamiliar with word segmentation, part-of-speech tagging, entity recognition, sentence analysis, model pre-training. Experience in sentiment analysis, relationship extraction, and event extraction is preferred.\nPublication of academic results in academic journals and conferences in NLP-related fields (such as: EMNLP, ACL) is preferred.\nFamiliar with CRF, SVM, and other classic machine learning algorithms and tools, word vectors, RNN, CNN, LSTM, GAN, and other deep learning experiences are preferred.",
    "standard_classification": {
        "std_category_code": "T036",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}