Bot Auto is a leading L4 autonomous trucking company based in Houston, Texas, focused on transforming American transportation through innovative AI-driven solutions. Specializing in Transportation as a Service (TaaS), Bot Auto operates an autonomous truck fleet to offer efficient and reliable freight services. The company leverages cutting-edge AI technology to enhance safety by reducing road accidents, while continually integrating the latest advancements in machine learning, data infrastructure, and hardware. Bot Auto aims to make a significant positive impact on the American supply chain by addressing driver shortages and increasing transportation capacity, positioning itself at the forefront of making autonomous trucking commercially viable and sustainable.
February 25
Bot Auto is a leading L4 autonomous trucking company based in Houston, Texas, focused on transforming American transportation through innovative AI-driven solutions. Specializing in Transportation as a Service (TaaS), Bot Auto operates an autonomous truck fleet to offer efficient and reliable freight services. The company leverages cutting-edge AI technology to enhance safety by reducing road accidents, while continually integrating the latest advancements in machine learning, data infrastructure, and hardware. Bot Auto aims to make a significant positive impact on the American supply chain by addressing driver shortages and increasing transportation capacity, positioning itself at the forefront of making autonomous trucking commercially viable and sustainable.
β’ Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. β’ Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail. β’ Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
β’ Have an advanced degree (Ph.D or Masterβs) in related fields of study: computer science, computer engineering, mathematics, physics, and etc. β’ Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, and employ SOTA techniques of machine learning. β’ Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools. β’ Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects. β’ Have a proven track record of research publications in top conferences and/or journals as the first author. β’ Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.
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