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Research Scientist in Computer Vision and Graphics
3 weeks ago
Hong Kong SAR
On-site Full Time 3 year or below Entry level
Key Responsibilities:
- Contribute to the future of Zeta Motion's proprietary AI-powered quality control software.
- Lead research activities in the field of Computer Vision and Graphics.
- Help evolve and develop our killer AI solution to help manufacturers solve their QC bottlenecks.
- Be a team player and help the start-up grow and prosper.
Requirements:
- Advanced knowledge of image processing and computer vision techniques such as anomaly detection, image segmentation, object detection, and 3D multi-view reconstruction.
- You have developed your own machine vision models and have demonstrated their effectiveness at peer-reviewed conferences and journals. We love original ideas
- Experience with maths libraries such as OpenCV, Eigen, Armadillo, Boost, and SciPy.
- Experience with machine learning / deep learning libraries such as scikit-learn, scikit-image, TensorFlow, TensorFlow-Lite, PyTorch, MXNet, CNTK, etc.
- Excellent knowledge of C++ (14, 17) and Python.
- PhD in Computer Science, Electrical Engineering, or related disciplines.
- Working knowledge of linear algebra, linear programming, combinatorial optimization, and 3D geometry.
Expected Salary: 35-45K (Depending on experience)
Additional Information Job LevelEntry level
Publish Date06/01/2025
Job Ref. No.CV-PHD
Job FunctionEngineering - Hardware
Company OverviewAt Zetamotion, we are a vibrant and diverse team of 20+ dedicated professionals, innovating at the intersection of technology and computer vision. We provide a self-learning AI Quality Control system that helps the manufacturing industry detect defects and attributes across a wide range of products with an accuracy rate of 99%+ from the onset. Dive into the Future of Computer Vision Step into the limelight and embark on a thrilling journey with Zetamotion, where cutting-edge research seamlessly blends with practical innovation, pushing the envelope of what's conceivable in computer vision.
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