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On
4〜6年
6〜10年
10〜15年
15年以上
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
就職中
・
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
國立政治大學（National Chengchi University）
・
資訊科學系Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
無職
・
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
6〜10年
中國醫藥大學(China Medical University)
・
臨床醫學研究所
OPC Chief Engineer @TSMC2020 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
就職中
・
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
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
1ヶ月以内
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City，Taiwan • [email protected] 希望職務：人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好，我是潘揚燊，目前任職於 聯華電子 ， 擔任 智慧製造 全端開發工程師 ， 畢業於元智大學工業工程與管理學系研
就職中
・
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
元智大學 Yuan Ze University
・
工業工程與管理學系所
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ 現在
・
全端工程師、後端工程師、前端工程師、軟體專案主管、AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver
就職中
・
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
6〜10年
National Taiwan Ocean University
・
Computer science and engineering就職中
・
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
6〜10年
清華大學 National Tsing Hua University
・
核子工程 nuclear engineering
Research & Development Engineer @三竹資訊股份有限公司2023 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
following experience： - backend framework: Spring boot, Flask - familiar with DB syntax for Elasticsearch, PosgresSQL and MSSQL Taiwan E-mail: [email protected] Skill languages Python JAVA backend Spring Boot Flask Deep Learning Pytorch CI/CD Docker Git SVN Jenkins Work Experience 工作經歷 Research & Development Engineer Mitake Information Corporation • JulPresent LLM-Based conversation system R&D Retrival Augmented Generation (RAG) system development ReAct prompting system development OpenSource LLM inference/prompting engineering Software Engineer Gorilla Technology Group • OctMay 2023 Main Role / Achievement: Research machine learning topics such as natural language processing (NLP) and deep
就職中
・
就職希望
フルタイム / リモートワークに興味なし
4〜6年
國立中央大學 National Central University
・
資訊工程
資訊人員 @新北市淡水區公所2023 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
謝慧珊 目前就職於公家機關擔任資訊人員，熱愛閱讀與寫作， 即將於致理科技大學進修商務智慧與創新科技研究所碩士班， 研究範圍為AI創新科技領域。 個性情感充沛並且喜歡觀察人群與反思，勇於接受挑戰。 座右銘： 樂觀積極，感恩惜福 www.shammixxd159
就職中
・
就職希望
フルタイム / リモートワークのみ
10〜15年
致理科技大學
・
資訊管理系
Senior Software Engineer @International Integrated Systems, Inc.(IISI)2020 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
Chin Ya Chang Machine Learning Engineer New Taipei City , Taiwan [email protected] Current Position: AI Team - Software Engineer at the Central Weather Bureau, specializing in machine learning. Tasks include image generation, numerical prediction, data calibration, recommendation systems, and text generation using data from satellites, radar, and geographic information. I stay updated on AI advancements by studying research papers and implementing new approaches into projects. Recently, I've focused on deploying Large Language Models (LLM) in customer-oriented chatbots. Proficient in Docker for establishing and maintaining development environments, deploying projects to client environments.
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
私立中原大學 Chung Yuan Christian University
・
環境工程
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
2ヶ月以内
Top 10 trang cá độ bóng đá uy tín nhắt Việt Nam. Review nền tảng cá cược trực tuyến cho những ai chưa tìm được web cá độ qua mạng phù hợp 351 Đ. Lê Đại Hành, Phường 13, Quận 11, Thành phố Hồ Chí Minh, Việt Nam#trangcacuocbongda #Trang_Cá_Độ_Bóng_Đá #Trang_Cá_Cược_Bóng_Đá https://trangcacuocbongda.app/ https://www.youtube.com/channel/UCoJT7RDFAl5RfBiA0tUtMYg/about https://www.reddit.com/user/trangcacuocbongdaapp/ https:/
就学中
・
就職希望
パートタイム / リモートワークに興味なし
4〜6年
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80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
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UI designer -UX
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
半導体
職務経験
6〜10年
Management
スキル
言語
Chinese
・
ネイティブまたはバイリンガル
English
・
中級者
Job search preferences
希望のポジション
Machine Learning Engineer
求人タイプ
フルタイム
希望の勤務地
Taiwan, Taipei, 台灣
リモートワーク
リモートワークに興味あり
Freelance
学歴
学校
National Chiao Tung University
専攻
Computer Science
Rocking Lai
Introduction
I am a deep learning engineer as well as professional software engineer.
I take part in various deep learning & computer vision projects, from software application to AI chip.
Also have the experience of developing video surveillance system (full-stack).
In addition, I strive for learning and constantly looking for ways to share my knowledge.
I am the mentor of Coursera, which helps students in learning computer vision and machine learning.
Skills
Domain Knowledge
- GPU Programming
- Deep Learning Compiler
- Neural Network Quantization
- Computer Vision Algorithm
- Surveillance System
Tool
- C++
- Python
- Pytorch
- OpenCV
Experience
Machine Learning Software Engineer, AMD, Sep 2021 - Present
- Develop GPU backend of various deep learning framework. Eg. PyTorch, Tensorflow, Onnx runtime
a. Implement and optimize GPU kernel
b. Proposed complex fused kernel, such as gemm + layernorm, gemm + reduction, gemm + softmax.
c. Low precision arithmetic for deep learning.
Deep Learning Engineer, CVITEK, Oct 2019 - Sep 2021
- Spin off from Bitmain.
- Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator.
- Deep learning accelerator
a. Research and prototype the int8, int4 and bf16 quantization algorithm.
b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (US20220129736A1, CN114492721A).
c. Model compression flow (heterogeneous quantization).
d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision).
e. Implement frontend of deep learning compiler (high level optimization and lowering to low level IR).
f. Inference simulator via high level IR.
g. Co-work with IC designer to design the cmodel of AI accelerator.
- Stereo Vision accelerator
a. Prototype the hardware-friendly stereo matching algorithm.
b. Co-work with IC designer to design the cmodel.
Deep Learning Engineer, Bitmain, Aug 2018 - Oct 2019
- Mainly focus on deep learning accelerator (so called NPU or TPU and so on)
- Research of deep learning algorithm for edge AI accelerator.
a. int8 and bf16 quantization algorithm.
b. Post training based mix-precision algorithm.
c. Quantization-aware training flow. - Deep learning compiler
a. Quantization tool (calibration, fine tuning).
b. Inference simulator for high level IR (cpu & gpu).
c. Co-work with IC designer to design the cmodel of AI accelerator.
Algorithm Engineer, ULSee, Jun 2017 ~ Aug 2018
- Vision algorithm for robot (object detection, gesture recognition, posture recognition).
- Facial landmark tracking algorithm.
- Improve face recognition flow.
- Driver fatigue detection, phone talking detection for ADAS (Advance driver assistance system).
- Plan & design the face recognition system for various projects. (IP camera integration, video
management, lead the scrum flow).
Software Engineer, NUUO, Sep 2014 ~ Oct 2017
- Design and maintained the Network video recorder (NVR). It is an embedded Linux, which can received video
stream from IP camera, various type of recording, video analytic, third party integration.
- Develop new features for NVR client, which can play live video, playback video, smart search video, event
management...etc.
- Develop SDK of NVR, provide a way for third party to integrate our NVR.
Volunteer
Course Mentor, Jan 2017 - Feb 2019
Machine Learning, offered by Stanford University.
Fundamentals of Digital Image and Video Processing, offered by Northwestern University.
Education
Master's degree, Computer Science and Information Engineering
National Chiao Tung University (2012 - 2014)
Bachelor's degree, Computer Science
National Chiao Tung University (2008 - 2012)
Publication
- Toward Community Sensing of Road Anomalies Using Monocular Vision, IEEE Sensors Journal (Volume:16 , Issue: 8 ) 2016
- Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder, IEEE International Conference on Pattern Recognition (ICPR 2014)
Patent
- Mixed-precision quantization method for neural network, US20220129736A1 (2021)
- 神經網路的混合精度量化方法, CN114492721A (2020)
Rocking Lai
Introduction
I am a deep learning engineer as well as professional software engineer.
I take part in various deep learning & computer vision projects, from software application to AI chip.
Also have the experience of developing video surveillance system (full-stack).
In addition, I strive for learning and constantly looking for ways to share my knowledge.
I am the mentor of Coursera, which helps students in learning computer vision and machine learning.
Skills
Domain Knowledge
- GPU Programming
- Deep Learning Compiler
- Neural Network Quantization
- Computer Vision Algorithm
- Surveillance System
Tool
- C++
- Python
- Pytorch
- OpenCV
Experience
Machine Learning Software Engineer, AMD, Sep 2021 - Present
- Develop GPU backend of various deep learning framework. Eg. PyTorch, Tensorflow, Onnx runtime
a. Implement and optimize GPU kernel
b. Proposed complex fused kernel, such as gemm + layernorm, gemm + reduction, gemm + softmax.
c. Low precision arithmetic for deep learning.
Deep Learning Engineer, CVITEK, Oct 2019 - Sep 2021
- Spin off from Bitmain.
- Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator.
- Deep learning accelerator
a. Research and prototype the int8, int4 and bf16 quantization algorithm.
b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (US20220129736A1, CN114492721A).
c. Model compression flow (heterogeneous quantization).
d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision).
e. Implement frontend of deep learning compiler (high level optimization and lowering to low level IR).
f. Inference simulator via high level IR.
g. Co-work with IC designer to design the cmodel of AI accelerator.
- Stereo Vision accelerator
a. Prototype the hardware-friendly stereo matching algorithm.
b. Co-work with IC designer to design the cmodel.
Deep Learning Engineer, Bitmain, Aug 2018 - Oct 2019
- Mainly focus on deep learning accelerator (so called NPU or TPU and so on)
- Research of deep learning algorithm for edge AI accelerator.
a. int8 and bf16 quantization algorithm.
b. Post training based mix-precision algorithm.
c. Quantization-aware training flow. - Deep learning compiler
a. Quantization tool (calibration, fine tuning).
b. Inference simulator for high level IR (cpu & gpu).
c. Co-work with IC designer to design the cmodel of AI accelerator.
Algorithm Engineer, ULSee, Jun 2017 ~ Aug 2018
- Vision algorithm for robot (object detection, gesture recognition, posture recognition).
- Facial landmark tracking algorithm.
- Improve face recognition flow.
- Driver fatigue detection, phone talking detection for ADAS (Advance driver assistance system).
- Plan & design the face recognition system for various projects. (IP camera integration, video
management, lead the scrum flow).
Software Engineer, NUUO, Sep 2014 ~ Oct 2017
- Design and maintained the Network video recorder (NVR). It is an embedded Linux, which can received video
stream from IP camera, various type of recording, video analytic, third party integration.
- Develop new features for NVR client, which can play live video, playback video, smart search video, event
management...etc.
- Develop SDK of NVR, provide a way for third party to integrate our NVR.
Volunteer
Course Mentor, Jan 2017 - Feb 2019
Machine Learning, offered by Stanford University.
Fundamentals of Digital Image and Video Processing, offered by Northwestern University.
Education
Master's degree, Computer Science and Information Engineering
National Chiao Tung University (2012 - 2014)
Bachelor's degree, Computer Science
National Chiao Tung University (2008 - 2012)
Publication
- Toward Community Sensing of Road Anomalies Using Monocular Vision, IEEE Sensors Journal (Volume:16 , Issue: 8 ) 2016
- Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder, IEEE International Conference on Pattern Recognition (ICPR 2014)
Patent
- Mixed-precision quantization method for neural network, US20220129736A1 (2021)
- 神經網路的混合精度量化方法, CN114492721A (2020)