工作內容

Who We Are

We are AuthMe, who is developing one of the most safest, easiest, and fastest digital identity platform in the world, using our ultra-efficient deep learning technique. Consisting of talents from various fields, we are dedicated to providing enterprises an exceptional solution to optimize their e-KYC procedure. We are backed by reputable institutions such as AppWorks and FinTechSpace and ready to expand globally with our expertise. Join us now to revolutionize and navigate the world billions of people perceived!

 

Who You Are

You, a talented machine learning and computer vision engineer, are going to be a key hire to our deep learning computer vision team. The candidate should have strong experience with classical and deep-learning computer vision techniques in object recognition, semantic segmentation, facial recognition, or liveness detection. Knowledge and experience in statistical machine learning and optimization is a plus. The ideal candidate should also be a versatile software hacker who is an excellent problem solver, and is able to deliver products on schedule.

 

條件要求

✈ AuthMe 求才若渴,若您身懷絕技,歡迎來討論期望待遇!
Required Qualifications

  • MS or PhD in Computer Science or other related field
  • 3+ years of experience in computer vision or related field with deep learning techniques, such as object recognition, semantic segmentation, facial recognition, liveness detection, etc
  • 3+ years of experience with developing software in object-oriented and scripting languages, and able to write clean code in Python or C/C++ with it
  • Experience with Docker or a similar container framework
  • Familiar with OpenCV or related development experience in Image processing
  • Strong skills on paper reading and implementation of DL models with one of the popular deep learning frameworks (i.e. Torch, PyTorch, Tensorflow)
  • Solid mathematical and algorithmic background
  • Good verbal and written communication skills necessary to effectively collaborate in a team environment, present and explain technical information, and provide advice to management

Preferred Qualifications

  • Experience with SVM, random forests, ensemble models, clustering, boosting, and other non-deeplearning ML methods
  • Experience with sampling methods, optimization, graphical models, and statistical machine learning
  • Experience with deploying deep learning models
  • Substantial knowledge / experience in one or more advanced areas: local, parallel and distributed file systems, SQL/NoSQL database systems
  • Experience with GPU programming, including NVIDIA CUDA
  • Experience with container orchestration tools such as Kubernetes

遠端型態

部分遠端面試

公司福利

 

💸一般年節、生日、年終獎金通通少不了

💸介紹人才進公司,團隊成長,你也有獎金

🌞上班時間彈性,避開早9擁擠上班潮

🌞只要你完成工作就可以Go Home,不用加班給主管看

🌞優渥的休假機制,連假還能提前放假避開返鄉潮

❤️幽默好相處的同事們如家人般,人生大小事一起慶祝

❤️好喝的咖啡、吃不完的零食,唯一缺點是要擔心體重

❤️不定期Happy Hour,想聚餐想旅遊就大膽說出口

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✨低藍光雙螢幕保護你的靈魂之窗

薪資範圍

NT$ 1,000,000 - 2,000,000 (年薪)

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