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職位概述： 作為高級人工智慧工程師，您將主導最先進的生成式模型研究、設計與實作，應用於影像與視訊領域。憑藉您在深度學習與生成式 AI 的專業知識，您將推動創新，提升我們的影像與視訊技術能力。 職責： 領導影像與視訊處理的先進演算法開發，包括影像修復、影像生成、超解析度（Super-Resolution）、影像增強、影像分割等。設計並實作影像處理、電腦視覺與深度學習技術，提出創新想法，以提升演算法效能與效率，解決真實世界的數據挑戰。與跨功能的軟硬體團隊緊密合作，優化演算法，以符合設備端的即時運算與記憶體限制，確保高效能運行。主導演算法的評估與優化，確保在多樣化環境與條件下保持穩定且卓越的表現。在軟體系統與平台中整合演算法，並與軟體工程師合作，確保無縫銜接與功能完善。追蹤電腦視覺與生成式 AI 的最新技術趨勢，主動探索並提出創新應用於產品與專案中。指導初級團隊成員，提供影像演算法開發、電腦視覺與深度學習技術的專業建議與支持。Position Overview: As a Senior AI Engineer, you will lead the research, design, and implementation of state-of-the-art generative models for image and video applications. Leveraging your expertise in deep learning and generative AI, you will drive innovation and contribute to the enhancement of our image and video applications. Responsibilities: Lead the development of advanced algorithms for image and video processing, including image restoration, image generation, super-resolution, image enhancement, image segmentation, among others.Drive the design and implementation of image processing, computer vision and deep learning technologies, proposing innovative ideas to enhance algorithm performance and efficiency and to address real-world data challenges.Collaborate closely with cross-functional software and hardware teams to optimize algorithms for efficient on-device real-time implementation, considering both computational and memory constraints.Lead the evaluation and optimization of algorithms to ensure robust performance across diverse environments and conditions.Provide technical leadership in the integration of algorithms into software systems and platforms, collaborating with software engineers to achieve seamless integration and functionality.Stay abreast of the latest advancements and emerging technologies in computer vision, and proactively explore and propose innovative ideas for application in our products and projects.Mentor junior team members, providing guidance and expertise in algorithm development, computer vision, and deep learning technologies.

職位概述： 作為研究科學家，您將負責開發最先進的基於深度學習的感知演算法，以提升我們自動駕駛系統的感知能力。 職責： 設計並實施最先進的深度神經網路架構和訓練方法，解決物件偵測、車道線偵測、影像分割等複雜的感知任務。開發深度估算、立體視覺 (Stereo Vision)、光流 (Optical Flow) 以及其他與 ADAS 空間理解相關的演算法。研究並開發深度神經網路壓縮策略，在確保效能的同時，優化其在 ASIC 平台上的硬體加速效果。優化和調整網路結構，以滿足嵌入式系統的即時性能需求。持續關注深度學習與電腦視覺領域的最新研究，並實作最先進的技術。提出並探索創新的方法，以提升 ADAS 感知演算法的能力。參與專利申請及研究論文發表，展示在職期間開發的創新解決方案。Position Overview: As the Research Scientist, you will be responsible for developing cutting-edge deep learning-based perception algorithms for enhancing the perception capabilities of our autonomous driving systems. Responsibilities: Design and implement state-of-the-art deep neural network architectures and training methodologies for addressing complex perception tasks, such as object detection, lane detection, and segmentation.Develop algorithms for depth estimation, stereo vision, optical flow, and other tasks related to spatial understanding in ADAS.Investigate and develop strategies for compressing deep neural networks while maintaining performance, particularly for hardware acceleration on ASIC platforms.Optimize and fine-tune network structures to meet real-time performance requirements on embedded systems.Stay at the forefront of deep learning and computer vision research by continuously reviewing and implementing state-of-the-art techniques.Propose and explore novel ideas and approaches to advance the capabilities of perception algorithms in ADAS.Contribute to patent applications and research papers, showcasing the innovative solutions developed during your tenure.