About CynapseCynapse is an awarded AI Software Product company specializing in Enterprise-grade Vision AI in highly challenging environments. cynapses software platform is leveraging cutting-edge cloud/on-premise/edge platforms, advanced computer vision algorithms, advanced ML concepts & models, and more.
The company Headquarter is located in Singapore (one-north Area)
Cynapse is looking for a talented and highly motivated Computer Vision & Machine Learning Developer to join our AI team that delivers a challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.
Develop advanced video/image analytics technologies using both Computer Vision Algorithms and advanced ML/DNN- Research technologies and concepts in the areas of Machine Learning, Computer Vision and Edge AI
Participate in system design activities, prototyping and testing
- Follow and contribute to software development best practices
At least a Bachelors Degree in Data Science, Computer Science, Engineering or similar
- Experience in developing Computer Vision applications, i.e. object detection & classification, object segmentation, computer vision algorithms, ML models optimization, etc.
Experience with ML/DNN in at least one of the following frameworks: TensorRT, Tensorflow, Keras, PyTorch- At least 2 years of experience with C++
Innovative, motivated and a quick learner- Ability to work well in a small team and take end-to-end ownership of problems and their resolution
Attention to detail, curiosity, and passion for technology
Competitive base salary and a generous stock option package
- Unique opportunity to work with a talented global team on cutting edge technologies
* informal and exciting work environment with flexible hours
_Due to the nature of the role, the position is considered for candidates that are only based in Singapore_
Job Type: Full-time
Pay: $4,
- 00 - $7,000.00 per month
Benefits: - Health insurance
Schedule:
Supplemental Pay:
Experience:
- Computer vision: 3 years (Required)
Work Location: In person