Hong Kong Centre for Logistics Robotics Limited
The Hong Kong Centre for Logistics Robotics was established in 2020 by The Chinese University of Hong Kong under the support of the InnoHK Clusters of the HKSAR government, with research contributions from the University of California, Berkeley.
The Centre focuses on the research and development (R&D) of robotics and artificial intelligence (AI) technologies for “future workplace” as well as innovative solutions to the “pressing problems” in the logistics industry. Our centre located in Hong Kong Science Park.
We are looking for Algorithm Engineer (Computer Vision)
We rely on you to:
- Develop computer vision algorithms for robotic picking and packing solutions for logistics scenarios
- Rich robotic arm development experiences
- Analyze and optimize existing instance detection, segmentation, and packing planning algorithms for logistics robotics settings
- Test and improve picking and packing algorithms on real robots
We are looking for:
- Have Bachelor’s degree or above in Computer Science, Electronic Engineering, or related disciplines
- Experience in 2D&3D computer vision algorithms is preferred
- Experiences in robotic arm development
- Real-world experience in object detection, recognition, segmentation, etc, is a plus
- Are proficient in Python, Pytorch, and Linux
- Have strong problem-solving skills
- Are self-motivated to work independently
- Able to collaborate with colleagues and build reliable systems
- Fluent communication in English, Mandarin, or Cantonese
We offer:
- 5-day work
- Competitive salary level
- 14 days annual leaves
- Medical insurance
- Dental healthcare
- Excellent and friendly office environment (newly renovated and next to seashore)
We are an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.
In the meantime, we would like to invite you to visit our career pages on LinkedIn [link removed].
If you are interested, send us your resume by clicking “Apply”.