Job Description
Job Functions
- Works with a general understanding of competitive technologies in the area of focus.
- Works to understand the system context in which new technologies will be used and the requirements that the technology must fulfill for success.
- Creates early-stage conceptual models that demonstrate feasibility.
- Document and present the new architectures and algorithms in various forms, such as technical white papers and internal meeting
Skills, Education, And Experience Required
- Ph.D. degree in electrical engineering, computer engineering, or computer science.
- Minimum of 3 years of experience in developing algorithms for generative neural network, multi-modal tasks, generative 2D/3D computer vision tasks.
- Intimately familiar with computer graphics, video processing systems, as well as corresponding software in consumer and professional products.
- Strong background in the latest AI technologies and their applications to image research.
- Proficient in Matlab, C/C++, OpenCV, and Python (Tensorflow/Pytorch) programming applied to computer vision is required.
- Self-motivated, quick learner and strong team player with ability to work with minimal supervision.
- Excellent written and verbal communication skills.
- It is highly desirable to have one or more of the following:
- Experience in filing patents of newly developed technologies.
- Hands-on experience in applying Generative Network, Computer Vision, and Machine Learning algorithms to real-world problems
- Proven track record of successful research accomplishments, published papers, and/or patent applications in the field of video encoding and processing.