一年期實習「2025 年惠普實習星軟體研發（資料工程/機器學習）職缺」招募正式開始！

**投遞前請注意：本職缺為「軟體研發（資料工程/機器學習）」，若對其他實習職務有興趣者，也歡迎參考投遞其他領域職缺，HP將保留面試分配的最終決定權**

實習介紹：一年期實習 (2025/07/07-2026/07/06)，一週實習 3 天

實習資格：碩士班在校生為優先 (實習期間需為全時學生)，畢業時間 2026 年 7-12 月 (以取得畢業證書為主)；必須能全程參與及配合實習工作地點 (台灣)

報名方式：2025/03/14 前完成投遞履歷 (中英文皆可，英文為佳)

請詳閱以下各部門職缺資訊與徵才需求，待進入面試流程，會由招募團隊進一步瞭解意向，並在後續面試關卡中進行團隊配對。

請注意，工作內容依部門而異，實際進入部門仍以公司需求及面試結果而定。

Team name: Project Management Office (PMO) for digital transformation and data analytics

To know more about the team: Watch VideoInnovative Data Projects: Engage in data collection, analysis, and visualization using tools like PowerBI, enhancing your technical and analytical skillsHands-On Learning: Build data systems, pipelines, and automation workflows, gaining practical experience in improving data quality and reliabilityCollaborative Environment: Work closely with project managers and domain experts, enhancing your teamwork and communication skillsIdeal candidates: Major in relevant fields (mathematics, computer science, statistics, etc.), knowledge of programming languages (eg. Python), data structures, algorithms, database tools (SQL, DAX), and proficiency in Power BI and Microsoft Office Suite.

Team name: Personal Systems Operations Supply Chain Product Engineering

To know more about the team: Watch VideoDevelop automatic engineering data management: Support digital supply chain by being a part of completing a data system to resolve inaccurate manual data input/output. Help strengthen digital NPI (New Product Introduction)’s capability by developing a visualized platform to present comprehensive view of dataFollow up Digital NPI roadmap for future improvement: Use data system to track NPI builds & issue, the task involves data mining and analysisRequirement: Engineering, or data science relative subject with one or more of below skills and is intreated in coding language, and willing to learn engineering relative works (Front-end web based development software, i.e. HTML, CSS, JavaScript ; Back-end web based development software, i.e. Python, PHP, JavaMicrosoft ; Power Platforms, i.e. Power Apps, Power Automate, Dataverse ; Database knowledge, i.e. SQL Server, MySQL, Redis and etc. ; Data Analytical software, i.e. PowerBI, Tableau...)

Team name: Commercial PC OS(Operating System) Preinstall Engineering

To know more about the team: Watch Video Analyze large SQL data on factory software builds, extract deeper insights through advanced modeling, predictive analysis and machine learningDemonstrate the ability to understand complex and apply advanced math/statistical model to help business identify problems and predict outcomesBe trained for HP factory process to help understand its database, additionally PC development cycle will be supplement. Combined, the training will help intern to be well prepared to contribute to HP business objectivesLearn how to translate business needs into data solutions and present complex insights simplyWe’re looking for interns with programming skill (Python, R), data analysis skills (data cleaning and statistical methods), knowledge in database management (SQL, NoSQL) and big data (Hadoop, Spark, cloud platforms) and embracing new tools and methods.

Team name: Commercial Systems Software Engineering (CSSE) - Digitalization Tool team

To know more about the team: Watch VideoJoin our Data Insight Portal in a cutting-edge team developing intelligent systems that transform data into actionable insights through advanced NLP and multimodal data processing technologiesTransform unstructured customer interaction data into digital, actionable formats, develop and implement LLM-powered insight generation systems, and design multimodal data processing capabilities for audio, video, and text dataCreate a hybrid human-AI workflow system with intelligent parsing mechanisms, build intuitive interfaces for human-expert validation of AI-generated insights, implement feedback loops to continuously improve system accuracy and relevance, develop and integrate data processing pipelines using Python and modern AI frameworksIdeal Candidate: Major in Computer Science, Data Science, Machine Learning, or related technical field with Python skills and foundational understanding of machine learning and natural language processing conceptsPreferred experience/knowledge: cloud computing platforms, REST APIs and web frameworks, LangChain or LlamaIndex, audio/video processing technologies, backend development frameworks, Azure OpenAI services.