Senior Machine Learning Engineer 資深機器學習工程師

Job updated 7 days ago

Job Description

▍About AlfredCamera

From day one, we’ve been guided by the belief that home security should be made accessible to everyone. We started out by offering a software solution that turns your old phone into a security camera in 2014. Since then, this simple but powerful idea has become the go-to security app for more than 50 millions families worldwide. 

In 2022, we launched our first hardware product, AlfredCam, which opened up an exciting new chapter for us. And 2023 is going to be an even more exhilarating year, as we are taking more proactive actions to respond to our consumers and expanding our presence in more countries. If you want to be a game changer for one of the most trusted brands worldwide, we have the right opportunity for you!

▍Your Role

As a Machine Learning Engineer specializing in both Computer Vision and Audio, you will play a crucial role in developing cutting-edge solutions for a wide range of applications. Your expertise will be instrumental in creating and implementing machine learning models and algorithms that cover areas such as image classification, object detection, audio classification, audio enhancement, semantic segmentation, image generation, and video analysis.

As part of AlfredCamera's mission to make home security accessible to everyone, you will be a game-changer, driving innovation and contributing to the success of one of the most trusted brands worldwide. Join us in this captivating journey where your expertise will have a significant impact on enhancing the safety and security of millions of families around the globe.


  • Collaborate closely with esteemed computer vision and audio researchers at AlfredCamera, integrating cutting-edge techniques into solutions that drive innovation in the home security industry.
  • Seamlessly weave machine learning models into production systems alongside software engineers, ensuring seamless scalability, real-time performance, and robustness for both computer vision and audio tasks.
  • Prepare and meticulously process large-scale datasets to train and evaluate machine learning models, ensuring the highest standards of security for our users.
  • Optimize and fine-tune machine learning models to enhance accuracy, efficiency, and adaptability in both computer vision and audio domains, validating their capabilities through rigorous experimentation and performance evaluations.
  • Immerse yourself in the latest advancements in computer vision and audio fields, actively contributing to the research community, and exploring uncharted territories of innovation.
  • Translate strategic business requirements into actionable machine learning projects, ensuring seamless alignment with customer needs and expectations, and driving the growth and success of AlfredCamera as one of the most trusted and innovative brands globally.


▍Minimum qualifications

  • A profound background in machine learning and deep learning, complemented by a deep-rooted understanding of computer vision and audio processing techniques.
  • A proven track record of developing and deploying machine learning models for computer vision and audio applications, showcasing your expertise in convolutional neural networks (CNNs), generative models, and audio signal processing techniques.
  • Exceptional programming prowess in Python, along with hands-on experience in industry-leading deep learning frameworks such as TensorFlow and PyTorch, for both computer vision and audio tasks.
  • An encyclopedic knowledge of computer vision concepts, image processing, visual recognition algorithms, as well as audio signal processing algorithms.
  • A familiarity with indispensable computer vision libraries such as OpenCV and scikit-image, coupled with an affinity for audio-related libraries such as Librosa and Essentia.
  • A tenacious problem-solving acumen, enabling you to dissect complex visual and audio data with ease.
  • Superb communication and teamwork skills, facilitating seamless collaboration with cross-functional teams and a proven track record of delivering successful machine learning models and algorithms in commercial environments.
  • A profound grasp of edge device deployment is considered a valuable asset.

▍Preferred qualifications

  • An MS or PhD in related areas such as Computer Science, EE, Mathematics, or Statistics.
  • Experience building production-level systems using ML/DL techniques for both computer vision and audio domains.
  • Expertise in optimizing models for edge devices.

      Interview process


      4 years of experience required
      1,200,000 ~ 2,000,000 TWD / year
      Partial Remote Work
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      About us

      AlfredCamera(阿福管家) 是北美最受歡迎的居家安全監控軟體,全球已累積7000萬用戶下載,並分別於 2016 年與 2019 年獲得 Google Play 年度最創新 App 與年度最佳生活幫手 App 的殊榮。

      上架至今, AlfredCamera 已經在 Android/iOS 雙平台上獲得超過 80 萬筆、平均 4.8 顆星的高評價。短短數年內 AlfredCamera 已經達到正向現金流,在已實證的商業模式下穩健發展,並持續投入 AI 研發。

      2022年阿福管家跨入硬體領域,推出專屬硬體 AlfredCam 於美國開賣,硬體預購吸引逾 2.5 萬人次湧入 APP 內搶購, 8 分鐘不到便搶購一空。

      我們期許透過與硬體與既有軟體服務整合,強化既有的商業模式。透過智慧手機及 APP 的普及,於全球快速累積龐大用戶基數,再依據顧客不同階段的需求提供專用硬體,升級居家安全體驗。

      在新創圈每年流行一個新的 buzzword 時, AlfredCamera 從使用者出發,專注在「推出解決大眾生活問題的普及化 AI 應用」,我們相信科技應該讓人們生活得更好。在這個理念之下,我們推出 AlfredCamera 幫助使用者將舊手機變成唾手可得的監控攝影機。 AlfredCamera 看起來樸實,卻需要堅實的技術實力讓 AI 偵測流暢運行於各種機型;我們沒有酷炫的硬體,卻是真正讓使用者隨手取得的好體驗。為了達成更大的目標,我們需要這樣的人才:


      產品從使用者需求出發,公司有 ⅓ 的職位與使用者直接相關,從 Research、Content、User Feedback、User Data 四大方面積極用主動、被動的方式取得質化、量化的使用者資料。在公司內的產品規劃會議中,我們一定會問的問題是「用戶在想什麼?遇到了什麼問題?」,並且透過研究描繪主要用戶輪廓,以此協助大家進行決策和規劃。






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