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4〜6年
6〜10年
10〜15年
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就職中
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面接の用意ができています
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6〜10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
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全端工程師
1ヶ月以内
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
リモートワークに興味あり
10〜15年
Past
資深前端工程師 @比房科技2022 ~ 2024
・
Frontend developer.
1ヶ月以内
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
無職
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面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
暨南大學
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電機工程就職中
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就職希望
フルタイム / リモートワークに興味あり
4〜6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職中
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就職を希望していません
フルタイム / リモートワークに興味なし
6〜10年
National Taiwan University
・
資訊工程
Web/Backend Engineer @元大投信2021 ~ 2023
・
工程師、副理
6ヶ月以内
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
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6〜10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
1年以内
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
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4〜6年
國立交通大學（National Chiao Tung University）
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Computer Science最も簡単で効果的な採用プラン
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Machine Learning Engineer
Fields of Employment
人工知能／機械学習, ビッグデータ, Saas／クラウドサービス
職務経験
2〜4年
Management
なし
スキル
言語
Chinese
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ネイティブまたはバイリンガル
English
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中級者
Job search preferences
希望のポジション
Data Scientist/Machine Learning Engineer
求人タイプ
フルタイム
希望の勤務地
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立臺北大學
専攻
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