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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
輔仁大學 Fu Jen Catholic University
・
Computer Science and Information Engineering
Chief Engineer @類神經網路股份有限公司2018 ~ 现在
・
全端工程師
一個月內
GTM 、 GA4 數據收集應用。 建置適用於各式專案 Angular 的 npm 套件。 協作 NPM (能製作 package) GitHub Postman (製作 Restful API 及 gRPC 文件) Sketch Notion Trello Slack Miro 工作經歷 Chief Engineer 類神經網路股份有限公司 • 三月Present 以開發 LINE Chatbot 產品平台為主，主導架構及技術選型，系統在兼顧雲端成本的同時以大流量
就职中
对远端工作有兴趣
10 到 15 年
曾任
資深前端工程師 @比房科技2022 ~ 2024
・
Frontend developer.
一個月內
尋找客戶、定價議價、三方合作、交付與後續維護。 技術使用：React, Next.js, Firebase, Vercel, tRPC, Prisma, PlanetScale, Supabase, Github Pages, Rollup.js, GraphQL 全端工程師(偏前端) 妞時尚股份有限公司 六月九月 2020 Taipei, Taiwan 獨立完成十多個網站專案，運用RWD與設計原則與設計師協作產生令人滿意的結果；製作企
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
暨南大學
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電機工程就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣師範大學 National Taiwan Normal University
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教育心理與輔導學系測驗科技組博士班就职中
・
目前没有兴趣寻找新的机会
全职 / 暂不考虑远端工作
6 到 10 年
National Taiwan University
・
資訊工程
Web/Backend Engineer @元大投信2021 ~ 2023
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工程師、副理
半年內
王 靖 瑤 [email protected] Taipei City, Taiwan Education 國立臺北教育大學/資訊科學所, SepJul 2019 主修：機器學習、趨勢預測、神經網路 南台科技大學/資訊管理學系, SepJun 2009 副修：AutoCad機械繪圖、醫學影像製作、軟體工程學程、CERPS證照研修 Experience 投資信託股份有限公司, MayPresent 職位：網站程式設
就职中
全职 / 对远端工作有兴趣
6 到 10 年
國立台北教育大學
・
資訊科學, 類神經網路研究
Scrum Master / 專案經理 / 工程部主管 @恩克斯網路科技股份有限公司2016 ~ 2019
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Product Manager
一年內
資料結構、數值分析 積極參與系上活動，包含系學會、迎新宿營、松樹營（暑期營隊），也參與桌球校隊。 工作經歷 恩克斯網路科技股份有限公司, Scrum Master / 專案經理 / 工程部主管, Oct 2016 ~ Nov 2019 產品開發流程 / 團隊管理 / 跨職能溝通協調 擔任 Scrum Master，引導開發
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立交通大學（National Chiao Tung University）
・
Computer Science最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
专业
机器学习工程师
产业
人工智能 / 机器学习, 大数据, 软件即服务 / 云服务
工作年资
2 到 4 年
管理经历
无
技能
语言能力
Chinese
・
母语或双语
English
・
中阶
求职偏好
希望获得的职位
Data Scientist/Machine Learning Engineer
预期工作模式
全职
期望的工作地点
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立臺北大學
主修科系
統計研究所
Jerry Hsu
I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.
Machine Learning Engineer
Taipei City | Taiwan
- National Taipei University | Master degree in statistics | 2017/09 - 2020/02
- National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06
Work Experience
CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City
- Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
- Designed the retail related features and Machine Learning model.
- Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task.
- Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio.
- Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients
- Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
- Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
- Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers.
- Worked on the papers study and continued sharing among the ML team.
- Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress)
Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12
- Reorganized and enhanced Automatic DJ system
- Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link)
- Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures.
- Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.
- Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
- B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
- A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020
Skill & Certifications
Machine Learning skills
- Deep Learning (CNN, RNN, NN)
- Tree-based Model
- Music auto-tagging
- Predicted customer lifetime value
- Tabular data
Tools
- Python, R, SAS
- Numpy, Pandas, Scikit-learn
- GCP Vertex AI, AutoML
- Git, Airflow
Certrification
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Professional Data Engineer
Jerry Hsu
I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.
Machine Learning Engineer
Taipei City | Taiwan
- National Taipei University | Master degree in statistics | 2017/09 - 2020/02
- National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06
Work Experience
CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City
- Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
- Designed the retail related features and Machine Learning model.
- Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task.
- Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio.
- Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients
- Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
- Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
- Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers.
- Worked on the papers study and continued sharing among the ML team.
- Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress)
Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12
- Reorganized and enhanced Automatic DJ system
- Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link)
- Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures.
- Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.
- Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
- B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
- A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020
Skill & Certifications
Machine Learning skills
- Deep Learning (CNN, RNN, NN)
- Tree-based Model
- Music auto-tagging
- Predicted customer lifetime value
- Tabular data
Tools
- Python, R, SAS
- Numpy, Pandas, Scikit-learn
- GCP Vertex AI, AutoML
- Git, Airflow
Certrification
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Professional Data Engineer