CV Engineer

Responsible for the development of CV technology that enables new experiences in sports video. From the development of machine learning models to technical support, data set construction, and ML Ops perspectives, we will actively work to create our own value and expand into surrounding fields. Specific technical applications include 3D coordinate recognition for sports video, posture estimation, and video requirements such as motion constraints, as well as image recognition technologies such as physical recognition, multi-object tracking, 3D reconstruction, scene understanding, and video requirements.

Experience in image recognition-related development (3 years or more), knowledge and experience in machine learning-based image processing including DNN, experience in development using Python and C/C++ (3 years or more), and a certain level of English reading and comprehension ability.

Experience in domestic and international paper submissions, paper presentations, and participation in academic conferences in related fields, knowledge of ancient literature and various historical image processing, experience in scene understanding, high-speedization of image recognition models using CUDA, methods for immediate data acquisition for practical problems, experience in data set construction, GitHub-based team development experience, experience using cloud services such as AWS and GCP, experience in containerization technology such as Docker, and experience in the design, implementation, and operation of ML Ops.