Senior Computer Vision-Deep Learning/Modeling
July 21
🏢 In-office - Bay Area
Description
• Develop, implement, and optimize our custom deep learning models for our robotics systems. • Research, prototype, enhance, and implement cutting-edge perception algorithms (such as 3D/2D detection, segmentation, and classification) for autonomous vehicle deployment. • Develop and optimize large-scale deep learning models on GPU clusters, focusing on improving performance metrics. • Increase the efficiency of deep learning computational processes using methods like quantization and pruning. • Engage in collaborative efforts with software and testing teams to facilitate the integration and optimization of algorithms/modules in both simulated and real-world environments.
Requirements
• Has a career in Deep Learning or Computer Vision, demonstrated by the practical application in real-world scenarios. • Feature significant publications in leading AI conferences (such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR) or have notable experience in Kaggle competitions. • Experience with architectures like YOLO, SSD, U-Net and Vision transformers • Hold a Ph.D. or equivalent in Computer Science, Electrical/Mechanical Engineering, Physics, Applied Mathematics, Statistics, or a related area. • Possess over two years of experience in deep learning algorithms or within the autonomous driving industry. • Demonstrate proficiency in at least one major deep learning framework (e.g., PyTorch, TensorFlow). • Have familiarity with classical computer vision algorithms, particularly multiview geometry. • Be adept in developing algorithms using C/C++ or Python. • Show a strong commitment to researching, developing, and applying deep learning algorithms to novel problems. • Exhibit effective communication skills for clear dissemination of information and results.
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