Design, train, and optimize deep learning models for object detection, multi-object tracking, classification, and activity recognition in industrial environments
Build and maintain real-time computer vision inference pipelines and analytics systems deployed across logistics hubs, distribution centers, and factories
Lead dataset strategy, annotation standards, model evaluation, and experimentation to continuously improve CV/ML performance and reliability
Define and drive the technical roadmap, architecture, and integration strategy for CV/ML systems within the Digital Twin Platform
Establish engineering best practices and mentor engineers through technical leadership, design reviews, and adoption of state-of-the-art CV/ML advances
技術スタック
必須スキル
Hands-on model design, training, and hyperparameter tuning with PyTorch or TensorFlow
Leading scalable perception pipelines (object detection, multi-object tracking) including data quality strategy, evaluation methodology, and real-world deployment constraints
Proven track record delivering complex CV/ML systems end-to-end in production
Solid understanding of classical computer vision geometry (camera intrinsics/extrinsics, calibration, 3D reconstruction)
Strong English communication
歓迎スキル（該当する場合）
PhD in Computer Vision, Machine Learning, or related field