Build AI Worker VoiceAgent’s web frontend, designing visual interfaces and admin features, selecting architecture, and delivering releases with TypeScript and React in a hybrid office/home role.
About this role
Part of CyberAgent's Sports Video Tech Division, this role applies data analysis and machine learning to sports video and statistics for WINTICKET and WINLIVE. The division works with ABEMA and Sports AI Tech Lab on sports businesses involving event prediction, and includes engineers and researchers across machine learning, broadcasting, CG and backend development.
Work includes player 3D-coordinate recognition, pose estimation, ball tracking, video summarization, play analysis and event-prediction models. The engineer may also build MLOps foundations for inference, retraining and monitoring, or handle real-time and edge inference, GPU optimization, low-latency processing and product implementation. Candidates should have experience or interest in at least one of object detection, tracking, pose estimation, action recognition, event detection, time-series or predictive modeling, multimodal learning, AWS, GCP, Alibaba Cloud, MLOps, model operations, annotation design, or sports data, video production, broadcasting, distribution and entertainment.
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