{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Machine Learning Intern 108140",
        "job_level": "实习",AI生成
        "work_category": "实习",AI生成
        "department": "IEG",
        "location": "帕罗奥多",
        "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": "小时"
        },
        "benefits": "We are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth."
    },
    "requirements": {
        "working_years": "",
        "degree": "未披露",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "Business Unit\n\nWhat the Role Entails\nTencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good.\n \nWe are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.\n \nInteractive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users.\n \nResponsibilities:\n• Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.\n• Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.\n• Deliver actionable business insights to internal and external stakeholders.\n• Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) to gather competitive intelligence, market signals, and player/community data at scale.\n• Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.\n• Engage in technical knowledge sharing, documentation, and cross-team collaboration. \n\nWho We Look For\nPursuing a M.S., or Ph.D. degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc.\n Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.).\nExperience with building complex data products and machine learning systems on large datasets preferred. Hands on experience on fraud detection is a plus\nProficient in Python and SQL.Solid understanding of modern AI/LLM and hands-on experience applying them to real-world problems is a plus \nExcellent communication, collaboration, execution capabilities, and keen business acumen.\nPassionate about games and the gaming industry. Gaming experiences in FPS/TPS is a plus.\nLocation State(s)\nUS-California-Palo Alto\nThe expected base pay range for this position in the location(s) listed above is $28.27 to $60.00 per hour. Actual pay may vary depending on job-related  knowledge, skills, and experience.\nThis position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.\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: US-California-Palo Alto",
        "requirements_text": "岗位要求详情请见上方岗位职责内说明",
        "skills": [AI生成
            "Python",
            "SQL",
            "团队协作",
            "大语言模型"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "We are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, "
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/US-California-Palo-Alto/Machine-Learning-Intern_R108140-1"
            }
        ]
    },
    "posting": {
        "posting_id": "2099760208665554944",
        "post_date": "2026-09-14",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/US-California-Palo-Alto/Machine-Learning-Intern_R108140-1"
    },
    "fulltext": "Machine Learning Intern 108140\nBusiness Unit\n\nWhat the Role Entails\nTencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good.\n \nWe are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.\n \nInteractive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users.\n \nResponsibilities:\n• Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.\n• Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.\n• Deliver actionable business insights to internal and external stakeholders.\n• Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) to gather competitive intelligence, market signals, and player/community data at scale.\n• Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.\n• Engage in technical knowledge sharing, documentation, and cross-team collaboration. \n\nWho We Look For\nPursuing a M.S., or Ph.D. degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc.\n Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.).\nExperience with building complex data products and machine learning systems on large datasets preferred. Hands on experience on fraud detection is a plus\nProficient in Python and SQL.Solid understanding of modern AI/LLM and hands-on experience applying them to real-world problems is a plus \nExcellent communication, collaboration, execution capabilities, and keen business acumen.\nPassionate about games and the gaming industry. Gaming experiences in FPS/TPS is a plus.\nLocation State(s)\nUS-California-Palo Alto\nThe expected base pay range for this position in the location(s) listed above is $28.27 to $60.00 per hour. Actual pay may vary depending on job-related  knowledge, skills, and experience.\nThis position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.\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: US-California-Palo Alto\n岗位要求详情请见上方岗位职责内说明",
    "standard_classification": {
        "std_category_code": "T017",
        "std_aux_codes": [
            "T016"
        ],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}