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上傳簡歷或其他相關檔案。最大檔案大小:4 GB

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.

技能標籤: computer vision, deep learning, python

您正瀏覽的職缺:Senior Engineer of AI/Deep-Learning Algorithm (Computer Vision)    有 2 則面試心得
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  1. Philip
    負責顧問
    Reply
    以下內容由 JECHO 顧問群向人選取得面試回饋,或由人選主動提供,請勿任意轉載。

    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
    負責顧問
    Reply
    以下內容由 JECHO 顧問群向人選取得面試回饋,或由人選主動提供,請勿任意轉載。

    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。

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