【我们会为你提供这样的工作】
Design and optimize V2X models based on machine learning. The models are applied to the servers of roadside cameras. Cut and compress the mainstream deep neural network model for optimization, and deploy the optimized model to accelerate the calculation on Intel's VPU device VCAA board. Use or develop target detection and multi-target tracking algorithms, such as supervision and deep learning, reinforcement learning, Bayesian analysis, etc., to solve the application problems of computer vision. In a research environment or a specific product environment, use current programming methods to convert model detection and FFmpeg video streaming to overall software. Complete solution / product programming, testing, debugging, documentation and deployment.
【我们希望你有以下背景和技能】
- Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields
- Strong product background and hands on experiences in building product-quality computer vision, machine learning and deep learning technologies
- Outstanding algorithm implementation skills and proficient in C/C++, Python, etc
- Strong experience in building AI related product and service; OpenVINO experience is plus.
- Strong oral/written communication skills and good teamwork spirit