About the Company:
Established in 2014. Home Security product. Over 15 million people around the world havedownloaded this smart home app.
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▍Responsibility
1. Develop and implement machine learning models and algorithms for various computer vision applications, such as image classification, object detection, semantic segmentation, image generation, and video analysis.
2. Work closely with computer vision researchers to stay up to date with the latest advancements in the field and incorporate state-of-the-art techniques into our solutions.
3. Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, efficiency, and robustness.
4. Pre-process, analyze, and annotate large-scale datasets to train and evaluate machine learning models, ensuring high-quality and diverse training data.
5. Optimize and fine-tune machine learning models to improve their accuracy, performance,
and generalization capabilities.
6. Conduct thorough experiments and evaluations to validate and measure the performance of developed models, employing appropriate evaluation metrics.
7. Keep abreast of emerging trends and advancements in computer vision, and actively contribute to the research community is a plus.
8. Collaborate with product managers to translate business requirements into actionable machine learning projects, ensuring alignment with customer needs and expectations.

Job Role:

Data 團隊目前有兩位，此人加入會協助打造內部機器學習/資料科學的基礎建設，並針對關鍵場景打造合適模型並進行用戶測試，促進公司的機器學習 / 深度學習應用。針對創新技術進行實驗驗證，進一步推進產品化，同時，確認機器學習技術產出達到需求標準

▍Must Have
1. Strong background in machine learning, deep learning, and computer vision techniques.
2. Proven experience in developing and deploying machine learning models for computer
vision applications, with a solid understanding of convolutional neural networks (CNNs) and generative models.
3. Proficiency in programming languages such as Python, along with experience using popular deep learning frameworks (e.g., TensorFlow, PyTorch). 

4. In-depth knowledge of computer vision concepts, including image processing, feature extraction, and visual recognition algorithms. 

5. Experience with popular computer vision libraries and frameworks (e.g., OpenCV, scikit-image) and deep learning architectures tailored for vision tasks (e.g., YOLO, Mobilenet). 

6. Strong analytical and problem-solving skills, with the ability to analyze and interpret complex visual data. 

7. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. 

8. Demonstrated track record of delivering successful machine learning models and algorithms in commercial environment.
9. Experience with edge device deployment is a plus.

▍Preferred qualifications
● MS or PhD majored in related areas (Computer Science, EE, Mathematics and
Statistics) is recommended
● Experiences in building a production-level system using ML/DL techniques
● Experiences in optimizing model for edge devices

• (視訊)interview w/ HR
• 現場面試w/ML主管&團隊& HR
• 現場面試w/ CEO & CTO 

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若您有興趣應徵此職位，歡迎直接寄送您的履歷到以下信箱，並註明您要應徵的職位，若合適的話，我會再回信與您安排時間詳聊，進一步分享職缺資訊喔！

謝謝您！

👉For More Questions, feel free to contact me

Consultant: Tina Lee

Mail: [email protected]

Line: https://line.me/ti/p/Qd-6Ql2Tc0