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Responsibilities

  • Research and implementation of novel/advanced deep neural network architectures and learning techniques to solve a variety of computer vision tasks and push the state of the art in performance.
    • The topics may include but not limited to: object/key-point detection, semantic segmentation, face attributes/landmark/recognition, video understanding/behavior modeling, and efficient architecture.
    • Problem formulation, benchmarking, dataset analysis/collection, designing and finetuning model with required accuracy and speed.
  • Build and maintain the infrastructure for training and deploying models, including data pipelines, experiment management platform, visualization tools, etc.
  • Integration of model components with the product stack.

Essential Requirements

  • MS / PhD in Computer Science, Electric Engineering, and/or Artificial Intelligence, Machine Learning related technical field with 2+ years of deep learning experience on computer vision.
  • 3-5 years of software engineering experience in an academic or industrial society.
  • Holistic understanding of deep learning concepts, state of the art in computer vision research and the mathematics of machine learning.
  • Proficiency in at least one of the popular computational and deep learning frameworks, such as Pytorch, TensorFlow, Keras, etc.
  • Proficiency in Python and C/C++.
  • Proven track record of high-quality engineering output (side projects, internships, research projects, full-time jobs etc.).
  • The ability and desire to work in the dynamic environment of an early-stage company.

Desirable Pluses

  • Research experience in Algorithms, Architecture, Artificial Intelligence, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
  • A solid foundation in computer science, with competencies in data structures, algorithms, and software design.
  • Strength on creativity and communication.

Tagged as: computer vision, deep learning, python

3 interview reviews on this position: Senior Engineer of AI/Deep-Learning Algorithm (Computer Vision)
Please go Interview Reviews page for furthur reviews.

  1. Philip
    Consultant in charge
    Reply
    The interview reviews are provided by JECHO candidates, any unauthorized reproduction is prohibited.

    轉職原因:希望能深耕 AI 這一塊。
    10 年以上的電腦視覺經驗,目前專研 deep learning。
    有多年跨領域的實際經驗,如演算法研究、軟硬體結構優化、嵌入式系統優化等。

    因為過去工作公司和 Kneron 有一些合作,因此由用人主管和人選先面談,人選相關經驗較廣,目前單位需要 DL 經驗較資深的人選帶領部門進步。
    接著由軟體部門主管、工程師加入面試,主要詢問過去相關經歷,沒有白板題,面試後覺得還不錯,喜歡公司發展方向、產品定位。

  2. Gina
    Consultant in charge
    Reply
    The interview reviews are provided by JECHO candidates, any unauthorized reproduction is prohibited.

    專注研究電腦視覺、深度學習等相關問題,擁有傑出的學術背景及相關經驗。

    和單位主管、跨部門主管進行面試,總共時間約一小時。
    前 30 分鐘進行自我介紹、過去專案介紹,後 30 分鐘為公司介紹,主要的問題都圍繞在相關經歷,沒有白板題,要求解釋 YOLO/HRT/mobile net 的架構等原理。
    對於耐能的產品蠻喜歡的,以耐能的 NPU 為主,若對面試評分,滿分 10 分,至少有 8 分,兩位面試主管都很 nice,但因為沒有長期共事過,不確定風格會是如何。
    主管評價:極好,將安排跟美國的算法工程師面試,並請準備 DL 基本框架概念等,待 HR 通知。

  3. Samuel
    Consultant in charge
    Reply
    The interview reviews are provided by JECHO candidates, any unauthorized reproduction is prohibited.

    博士畢,豐富 SoC、ASIC 經驗,半導體產業相關經歷;專注機器學習、算法開發等相關技術超過 7 年。

    工作流程和過去很類似,蠻喜歡的,由兩位 Team member 面試,需對 DL 模型建構、DL 細節有一定了解。未來二面需跟美國大主管面試,相關技術會問得更深入。過程很順利,深受面試官喜愛,互動良好,等待後續通知。

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