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台北 02-2912-6104
   02-7703-3104
台中 04-3700-6104
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Computer Vision Engineer-Video Collaboration

  • 全職

The Role:
Our Video Collaboration products help companies stay connected and can be found in the conference rooms of some of the biggest businesses in the world. We are a small, nimble fast growing group and our team is expanding. We create amazing experiences in the conference room using creative design, cutting edge science, and innovation. We love what we do because we are passionate about connecting people and we use the products we create every day to stay connected to our team. Want to be part of this team of collaboration innovators? We are looking for a talented Computer Vision/Machine Learning Engineer. You will be part of a talented team of developers and ML researchers focused on making video collaboration an amazing experience and the software you create will be used by thousands of people every day.

Your Contribution:
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:
• Curate annotated images that can be used to train Computer Vision/Machine Learning (CV/ML) algorithms/models.
• Augment images to simulate various real-life conditions
• Write C++ and Python code to build and enhance the platform that is used for training CV models
• Research existing research papers on CV, enhance existing Open Source models and incorporate novel techniques or create new algorithms from the ground up to solve complex use cases for the Logitech Video Collaboration platform
• Optimize CV algorithms so that they can run on embedded platforms running either Android or Linux Operating Systems

工作條件

  • 工作經歷: 六年以上
  • 學歷要求: 大學以上
  • 語文條件: 英文 -- 聽 /精通、說 /精通、讀 /精通、寫 /精通
  • 其它條件: Key Qualifications :
    For consideration, you must bring the following minimum skills and behaviors to our team
    • Strong background in computer vision and graphics or image processing
    • Knowledge of linear algebra fundamentals and optimization
    • Experience with popular deep learning frameworks (Tensorflow, Caffe, or Pytorch)
    • Ability to research, prototype and implement new algorithms in production-level code on an embedded platform (Linux/Android)
    • Proficiency in coding with C/C++, Python, Lua, R, Matlab or a related language
    • At least one finished complex, real-world CV project in role of CV developer with algorithms implementation.
    • Experience in using Source Control / Project Tracking systems(Github, Jira).
    • Some hands-on experience in development of computer vision/image processing algorithms for embedded systems.
    • 3+ years as a Computer Vision/Machine Learning engineer with real-world experience in training framework and tools (TensorFlow, Caffe, PyTorch), model compression, inference optimization.

    In addition, preferable skills and behaviors include
    • Programming experience on Android platforms is a plus

    Education
    • M.S. or Ph.D. (preferred) in computer vision or a related field


    Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.

    “All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.”
  •  
  • 歡迎應屆畢業生

福利制度

比照勞基法 / 年假日10天以上 / 保障年薪14個月 / 員工認股權 / 離職金制度 / 績效獎金 / 三節禮券 / 生日禮券 / 員工旅遊 / 社團活動 / 健勞團保 / 週休二日 / 彈性上班 / 人性化管理 / 完善教育訓練。

更新日期:2022-01-24

應徵方式

  • 職務聯絡人: P&C TA Taiwan Team
  • 聯絡E-Mail: 未填寫 我要應徵
  • 洽: 不接受電洽
  • 洽: 不接受親洽
  • 它: If you are interested in our openings, please apply at our official career website as the link below with your English Resume.
    URL: https://app.jobvite.com/j?cj=oMXOcfwt&s=104.com.tw

應徵分析

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