Senior Algorithm Engineer, Deep Learning & Vision

Job description

### **Company Introduction** At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality. ### **Key Responsibilities** - 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. SLAM in localization and etc.. - 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. - 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. ### **Qualifications** ### **Required:** - Have an advanced degree (Ph.D or Master’s) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc. - Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning. - Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools. - Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects. ### **Preferred:** - Have a proven track record of research publications in top conferences and/or journals as the first author. - Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.