CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
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 ~ 現在
・
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
就職中
對遠端工作有興趣
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
暨南大學
・
電機工程就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣師範大學 National Taiwan Normal University
・
教育心理與輔導學系測驗科技組博士班就職中
・
目前沒有興趣尋找新的機會
全職 / 暫不考慮遠端工作
6 到 10 年
National Taiwan University
・
資訊工程
Web/Backend Engineer @元大投信2021 ~ 2023
・
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
就職中
全職 / 對遠端工作有興趣
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
・
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
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
國立交通大學（National Chiao Tung University）
・
Computer Science最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
專業
機器學習工程師
產業
人工智慧 / 機器學習, 大數據, 軟體即服務 / 雲服務
工作年資
2 到 4 年
管理經歷
無
技能
語言能力
Chinese
・
母語或雙語
English
・
中階
求職偏好
希望獲得的職位
Data Scientist/Machine Learning Engineer
預期工作模式
全職
期望的工作地點
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
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