求職服務專線
台北 02-2912-6104 轉 2
   02-7703-3104 轉 2
意見回饋
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
意見回饋

ML/AI Software Engineer

  • 全職

We are looking for a person with documented experience of machine learning and AI, especially focused on using and integrating ML models in applications. We also prefer a candidate who has a basic understanding of programming embedded systems and an understanding of embedded hardware concepts.

Experience and Education:
1. 3-5+ years of software development for machine learning experience
2. MS 8+ years or Ph.D. 5+ years (Preferred)

Required Duties:
1. Interpret high-level algorithms and map the algorithms to appropriate processing technologies, such as GPUs, CPUs or DSPs
2. Design, code, test, and integrate application-level software for prototype processors
3. Design, code, test, and integrate system-level software to perform scheduling and allocation
4. Design, code, test, and integrate operators and its optimizations
5. Benchmark and document performance results of software

Required Skills:
1. Strong experience in at least one of the following machine learning toolkits; Keras, Tensorflow, PyTorch, FastAI, Scikit Learn
2. Strong experience in modern DNN networks and applications in graphic, vision, speech, and NLP
3. Strong recent experience in multi-process / multi-threaded application design/development, especially in OpenCL, OpenCV, and OpenVX
4. Strong recent experience implementing software across heterogeneous computing environments including CPUs, GPUs, and DSPs
5. Strong communication skills with demonstrated ability to document software design
6. Strong experience in software testing, benchmarking and performance tuning
7. Strong experience with version control, configuration management, and integration

工作條件

  • 接受身份: 上班族
  • 工作經歷: 三年以上
  • 學歷要求: 碩士以上
  • 語文條件: 不拘
  • 其它條件: 未填寫

福利制度

未填寫

更新日期:2021-06-22

應徵方式

  • 職務聯絡人: 孟小姐
  • 聯絡E-Mail: 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40%
1~3年0%
3~5年20%
5~10年20%
10年以上20%
學歷分佈
碩士及以上80%
大學20%
專科0%
高中0%
高中以下0%
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