Associate Principal Engineer/ Senior Lead Engineer/ Lead Engineer/ Senior Engineer, Deep Learning/AI

The Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under five Technology Divisions: Communications Technologies, Artificial Intelligence and Trust Technologies, Advanced Electronic Components and Systems, IoT Sensing and AI Technologies, and Innovative Mind.

It is applied across six core areas which are Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits, and Metaverse.

Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions. To date, ASTRI has transferred almost 1400 technologies to the industries and been granted more than 1000 patents in the Mainland, the US, and other countries.

To support our constant endeavour to position Hong Kong as a world-class smart city and an international hub of innovation and technology, we are seeking qualified professionals to fill the following position(s):

Job Responsibilities:

• Conduct research and development projects in the field of computer vision for solving various problems related to object detection, segmentation, and environmental sensing
• Design and optimize deep learning architectures for image and video analysis.
• Research and experiment with state-of-the-art AI development frameworks and tools.
• Develop environmental sensing capabilities to enhance AI applications.
• Troubleshoot and debug AI software applications to ensure optimal performance.
• Collaborate with cross-functional teams to integrate AI algorithms into surveillance systems.

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• In-depth knowledge of computer vision algorithms and techniques.
• Proficiency in object detection, tracking, and identification, as well as other relevant areas.
• Experience with AI development frameworks such as TensorFlow, PyTorch, or OpenCV.
• Familiarity with environmental sensing technologies and their integration with AI systems.
• Solid understanding of deep learning architectures and techniques.
• Proficient in working with FPGA.
• Previous experience in developing surveillance AI applications is a plus.
• Self-motivated with strong communication skills