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台北 02-2912-6104 轉 2
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廠商求才專線
台北 02-2912-6104
   02-7703-3104
台中 04-3700-6104
上海 86-21-50277104 轉 1
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Computer Vision Algorithm Engineer - AI Team

  • 全職

[Descriptions]
At Leapsy, our newly-formed AI Team aim to build the core engine combining computer vision, machine learning and augmented reality technologies to enable the immersive features in our products. Our mission is
- researching and developing internal and customer-facing computer vision services.
- building machine learning pipelines to improve and expand our products.
- building highly immersive and interactive augmented reality services.

[Responsibilities]
As a Computer Vision Algorithm Engineer in AI team, you will:
- be designing, developing, testing and deploying object detection algorithms/models upon customer needs.
- be a product owner with a vision for what you are building for our internal and external customers.
- be a team mate, a leader, a student and a mentor.
- be eager to learn new technologies and solutions.
- emphasize on both performance and accuracy.
- work closely with our hardware, embedded system and application teams to carry out the best-fit solution.

[Qualifications]
- BS/MS degree in Computer Science or related technical field, or equivalent practical experience.
- 3+ years of software development experience in one or more of the following: C, C++, Java or Python.
- Experience with computer vision, image processing, or augmented reality platforms.
- Experience with building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks, etc.).
- Experience with TensorFlow framework a plus.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

工作條件

  • 接受身份: 上班族
  • 工作經歷: 五年以上
  • 學歷要求: 大學以上
  • 語文條件: 不拘
  • 其它條件: 未填寫

福利制度

週休二日
員工獨立自主性的管理
上班時段早上9點~晚上6點

更新日期:2021-09-20

應徵方式

  • 職務聯絡人: Kevin
  • 聯絡E-Mail: (請利用104履歷表應徵此工作) 我要應徵
  • 洽: 不接受電洽
  • 洽: 不接受親洽

應徵分析

兩週內0-5人應徵
經歷分佈
新鮮人0%
1~3年50%
3~5年50%
5~10年0%
10年以上0%
學歷分佈
碩士及以上50%
大學50%
專科0%
高中0%
高中以下0%
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