Senior Computer Vision/Machine Learning Engineer, Digital Twin Platform

業務内容

• 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
• Edge inference optimization (TensorRT, ONNX export, quantization, pruning)
• 3D sensing modalities (LiDAR, depth cameras, multi-camera calibration and fusion)
• Space utilization analysis, occupancy estimation, or pedestrian/vehicle flow analysis
• Publications in top CV/ML conferences or Vision-Language Models / agentic system design
• Cloud ML workloads (AWS, GCP)

キャリア成長観点

• Early-growth Digital Twin Platformでの高いオーナーシップを通じ、技術方向性とロードマップ、ビジネスモデルの検討に影響を与えられる
• 実世界の物流・製造課題へ適用するCV/MLの深い技術領域を究められ、研究発表や技術的露出の機会が得られる
• 技術リーダーとしての mentoring・設計レビューを通じた成長、アーキテクチャ決定への影響力の拡大
• 機械学習とソフトウェア開発が融合する環境で、横断的なチームと協働し、ビジネスモデル検討にも関与する機会